Computational Biology Department, Carnegie Mellon University
E6118
The Computational Biology Department at Carnegie Mellon University is an academic unit specializing in research and education at the intersection of computer science, biology, and related quantitative disciplines.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Computational Biology Department | 1 |
| Computational Biology Department, Carnegie Mellon University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T70157 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Computational Biology Department, Carnegie Mellon University Context triple: [School of Computer Science, Carnegie Mellon University, hasSubOrganization, Computational Biology Department, Carnegie Mellon University]
-
A.
School of Computer Science
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions to computer science, artificial intelligence, and robotics.
-
B.
Department of Biology
The Department of Biology at MIT is a leading academic and research unit focused on advancing fundamental and applied biological sciences, from molecular and cellular biology to genetics and systems biology.
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C.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
-
D.
Schwarzman College of Computing
Schwarzman College of Computing is MIT’s interdisciplinary hub for computer science, artificial intelligence, and computing-related research and education across the institute.
-
E.
Picower Institute for Learning and Memory
The Picower Institute for Learning and Memory is a neuroscience research center at MIT dedicated to understanding the mechanisms of learning, memory, and related brain disorders.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Computational Biology Department, Carnegie Mellon University Target entity description: The Computational Biology Department at Carnegie Mellon University is an academic unit specializing in research and education at the intersection of computer science, biology, and related quantitative disciplines.
-
A.
School of Computer Science
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions to computer science, artificial intelligence, and robotics.
-
B.
Department of Biology
The Department of Biology at MIT is a leading academic and research unit focused on advancing fundamental and applied biological sciences, from molecular and cellular biology to genetics and systems biology.
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C.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
-
D.
Faculty of Computers and Artificial Intelligence
The Faculty of Computers and Artificial Intelligence is a specialized academic college at Cairo University focused on education and research in computer science, information technology, and artificial intelligence.
-
E.
McGovern Institute for Brain Research
The McGovern Institute for Brain Research is a neuroscience research center at MIT dedicated to understanding the brain and applying that knowledge to help treat brain disorders.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
university department ⓘ |
| academicDiscipline |
bioinformatics
ⓘ
biology ⓘ computational biology ⓘ computer science ⓘ mathematics ⓘ statistics ⓘ |
| country | United States of America ⓘ |
| emphasis |
integration of computation and life sciences
ⓘ
interdisciplinary collaboration ⓘ |
| fieldOfWork |
algorithms in computational biology
ⓘ
bioinformatics ⓘ biology ⓘ biomedical data science ⓘ computational biology ⓘ computational genomics ⓘ computer science ⓘ genomics ⓘ machine learning in biology ⓘ systems biology ⓘ |
| focusesOn |
education at the intersection of computer science and biology
ⓘ
interdisciplinary training ⓘ quantitative approaches to biological problems ⓘ research at the intersection of computer science and biology ⓘ |
| hasParentOrganization |
CMU
ⓘ
surface form:
Carnegie Mellon University
School of Computer Science ⓘ
surface form:
School of Computer Science, Carnegie Mellon University
|
| languageOfWorkOrName | English ⓘ |
| locatedIn |
Pennsylvania
ⓘ
Pittsburgh, Pennsylvania ⓘ United States of America ⓘ
surface form:
United States
|
| offersProgram |
PhD program in computational biology
ⓘ
graduate program in computational biology ⓘ interdisciplinary degree programs ⓘ undergraduate program in computational biology ⓘ |
| partOf |
CMU
ⓘ
surface form:
Carnegie Mellon University
School of Computer Science ⓘ
surface form:
School of Computer Science, Carnegie Mellon University
|
| sector | higher education ⓘ |
| specializesIn |
algorithm development for biological applications
ⓘ
computational methods for biological data ⓘ data-driven biology ⓘ quantitative biology ⓘ |
| typeOfEducationInstitution | research-intensive department ⓘ |
| website | https://www.cbd.cmu.edu/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Computational Biology Department, Carnegie Mellon University Description of subject: The Computational Biology Department at Carnegie Mellon University is an academic unit specializing in research and education at the intersection of computer science, biology, and related quantitative disciplines.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
School of Computer Science
→
hasSubOrganization
→
Computational Biology Department, Carnegie Mellon University
ⓘ
subject surface form:
School of Computer Science, Carnegie Mellon University
School of Computer Science at Carnegie Mellon University
→
hasSubOrganization
→
Computational Biology Department, Carnegie Mellon University
ⓘ
this entity surface form:
Computational Biology Department