Triple
T14981609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Kaufmann |
E373588
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Department of Computer Science, University of Texas at Austin |
E347191
|
NE FINISHED |
How this triple was built (2 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: [Matt Kaufmann, affiliation, 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: [Matt Kaufmann, affiliation, Department of Computer Science, University of Texas at Austin]
-
A.
Department of Computer Science, University of Texas at Austin
chosen
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.
-
B.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bef015c8190bdfb1b9144b2a55c |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.