Triple
T5618858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Harris |
E147547
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tony West |
E30978
|
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: Tony West | Statement: [Maya Harris, spouse, Tony West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony West Context triple: [Maya Harris, spouse, Tony West]
-
A.
Tony West
chosen
Tony West is an American attorney and former U.S. Department of Justice official who has served as Uber’s Chief Legal Officer, overseeing the company’s global legal, compliance, and ethics functions.
-
B.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
-
C.
David Nevins
David Nevins is an American television executive and producer best known for leading Showtime Networks and overseeing acclaimed series such as Homeland and Billions.
-
D.
Stephen Haise
Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
-
E.
Mark Burg
Mark Burg is an American film and television producer best known for his work on projects like the "Saw" horror franchise and various successful Hollywood films.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dd5d0081909d18d16596fac507 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287d9d7081909a1b2510565b55fc |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:40 p.m.