Triple

T14805340
Position Surface form Disambiguated ID Type / Status
Subject Crash (2004 film) E348019 entity
Predicate producer P490 FINISHED
Object Bob Yari E377881 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: Bob Yari | Statement: [Crash (2004 film), producer, Bob Yari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Yari
Context triple: [Crash (2004 film), producer, Bob Yari]
  • A. Bob Yari chosen
    Bob Yari is an Iranian-American film producer and real estate developer best known for financing and producing numerous independent and prestige films.
  • B. Rick Yune
    Rick Yune is an American actor and martial artist known for his roles in action films such as "The Fast and the Furious" and "Die Another Day."
  • C. Tony Yayo
    Tony Yayo is an American rapper best known as a member of 50 Cent’s hip hop group G-Unit.
  • D. Barret Zoph
    Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
  • E. Sol Yurick
    Sol Yurick was an American novelist and social critic best known for his 1965 gang novel "The Warriors," which was later adapted into the cult classic film of the same name.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf32666081908e84f985c47eb963 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c6b3008190a0fac1dace40361a completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:34 a.m.