Triple
T3748619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. Allen Emerson |
E81270
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | University of Texas at Austin Department of Computer Science |
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: University of Texas at Austin Department of Computer Science | Statement: [E. Allen Emerson, educatedAt, University of Texas at Austin Department of Computer Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Texas at Austin Department of Computer Science Context triple: [E. Allen Emerson, educatedAt, University of Texas at Austin Department of Computer Science]
-
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.
College of Natural Sciences, University of Texas at Austin
The College of Natural Sciences at the University of Texas at Austin is a major academic division renowned for its research and education in fields such as biology, chemistry, physics, mathematics, and computer science.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6bf95c81909796fbc84995ae05 |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5005b18819083890de9eb985794 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.