Triple
T230373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andries van Dam |
E4397
|
entity |
| Predicate | workInstitution |
P1203
|
FINISHED |
| Object |
Brown University Department of Computer Science
The Brown University Department of Computer Science is a leading academic and research department known for pioneering work in computer graphics, visualization, and theoretical computer science.
|
E29568
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Brown University Department of Computer Science | Statement: [Andries van Dam, workInstitution, Brown University Department of Computer Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown University Department of Computer Science Context triple: [Andries van Dam, workInstitution, Brown University Department of Computer Science]
-
A.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
B.
Department of Computer Science, UCLA
The Department of Computer Science at UCLA is a leading academic and research department known for pioneering contributions to computer networking, algorithms, artificial intelligence, and systems within a top-tier public university.
-
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.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brown University Department of Computer Science Triple: [Andries van Dam, workInstitution, Brown University Department of Computer Science]
Generated description
The Brown University Department of Computer Science is a leading academic and research department known for pioneering work in computer graphics, visualization, and theoretical computer science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brown University Department of Computer Science Target entity description: The Brown University Department of Computer Science is a leading academic and research department known for pioneering work in computer graphics, visualization, and theoretical computer science.
-
A.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
B.
Department of Computer Science, UCLA
The Department of Computer Science at UCLA is a leading academic and research department known for pioneering contributions to computer networking, algorithms, artificial intelligence, and systems within a top-tier public university.
-
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.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cac7994819080b0b3b10808f8e5 |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35ea326608190be39ec5260c3dac3 |
completed | Feb. 28, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69a35f0007208190acdfc17cd4bdf9b7 |
completed | Feb. 28, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a35f8565e081908ad0853151b57eba |
completed | Feb. 28, 2026, 9:35 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.