Triple
T3306003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J Strother Moore |
E69450
|
entity |
| Predicate | workInstitution |
P1203
|
FINISHED |
| Object |
Department of Computer Science, University of Texas at Austin
The Department of Computer Science at the University of Texas at Austin is a leading academic and research department known for its strong programs in areas such as artificial intelligence, systems, and theory, and for producing influential computer scientists in academia and industry.
|
E347191
|
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: Department of Computer Science, University of Texas at Austin | Statement: [J Strother Moore, workInstitution, Department of Computer Science, University of Texas at Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science, University of Texas at Austin Context triple: [J Strother Moore, workInstitution, Department of Computer Science, University of Texas at Austin]
-
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.
Department of Computer Sciences
The Department of Computer Sciences at Quaid-i-Azam University is an academic unit focused on education and research in computer science and related technologies.
-
D.
School of Computer Science at Carnegie Mellon University
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
-
E.
Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
- 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: Department of Computer Science, University of Texas at Austin Triple: [J Strother Moore, workInstitution, Department of Computer Science, University of Texas at Austin]
Generated description
The Department of Computer Science at the University of Texas at Austin is a leading academic and research department known for its strong programs in areas such as artificial intelligence, systems, and theory, and for producing influential computer scientists in academia and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Computer Science, University of Texas at Austin Target entity description: The Department of Computer Science at the University of Texas at Austin is a leading academic and research department known for its strong programs in areas such as artificial intelligence, systems, and theory, and for producing influential computer scientists in academia and industry.
-
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.
Department of Computer Sciences
The Department of Computer Sciences at Quaid-i-Azam University is an academic unit focused on education and research in computer science and related technologies.
-
D.
School of Computer Science at Carnegie Mellon University
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
-
E.
Department of Computer Science
The Department of Computer Science at Cairo University's Faculty of Science is an academic unit specializing in education and research in computing, software, and information technology.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c9470881908c36c1984fdbb67b |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3e6e55881909417d54e0d8f0a26 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2fa93ebc0819084c4cdfdb8d6e48d |
completed | March 12, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b6e224819080957998acbed524 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:11 p.m.