Triple

T15012878
Position Surface form Disambiguated ID Type / Status
Subject Yari Film Group E377882 entity
Predicate namedAfter P63 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: [Yari Film Group, namedAfter, Bob Yari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Yari
Context triple: [Yari Film Group, namedAfter, 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7613cec8190ac25e3f68c5d0edf completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dce8240819097efddb43b79ad4b completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:55 a.m.