Triple
T19203645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangqing Jia |
E480174
|
entity |
| Predicate | hasAcademicAdvisor |
P167
|
FINISHED |
| Object | Trevor Darrell |
—
|
NE NERFINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.
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: Trevor Darrell | Statement: [Yangqing Jia, hasAcademicAdvisor, Trevor Darrell]
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trevor Darrell Context triple: [Yangqing Jia, hasAcademicAdvisor, Trevor Darrell]
-
A.
Trevor Darrell
chosen
Trevor Darrell is a prominent computer vision and machine learning researcher and professor known for his work on deep learning, visual recognition, and autonomous systems.
-
B.
Trevor Albert
Trevor Albert is a film producer best known for his work on the classic comedy "Groundhog Day."
-
C.
Trevor Blackwell
Trevor Blackwell is a Canadian engineer, entrepreneur, and roboticist best known as a co-founder of the startup accelerator Y Combinator and for his work in humanoid and self-balancing robots.
-
D.
Trevor Duncan
Trevor Duncan was a British composer best known for his prolific production music and film scores in the mid-20th century.
-
E.
Trevor Jim
Trevor Jim was a computer scientist and cryptographer known for his work on programming languages, security, and formal methods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d8e8cb8c348190b52075823911c869 |
elicitation | completed |
| NER | batch_69e5f99a571c8190a1d53eb1994e0058 |
ner | completed |
Created at: April 10, 2026, 1:15 p.m.