Triple

T14953248
Position Surface form Disambiguated ID Type / Status
Subject Dave Shula E372850 entity
Predicate employer P7 FINISHED
Object Cincinnati Bengals E27597 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: Cincinnati Bengals | Statement: [Dave Shula, employer, Cincinnati Bengals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cincinnati Bengals
Context triple: [Dave Shula, employer, Cincinnati Bengals]
  • A. Cincinnati Bengals chosen
    The Cincinnati Bengals are a professional American football team based in Cincinnati, Ohio, competing in the National Football League and known for their tiger-striped uniforms and multiple Super Bowl appearances.
  • B. Bengals
    The Bengals are the intercollegiate athletic teams that represent Buffalo State University in NCAA competition.
  • C. Bengals
    The Bengals are the athletic teams representing Idaho State University in intercollegiate sports.
  • D. Bengals
    The Bengals is the nickname for the athletic teams representing Oak Forest High School.
  • E. Cleveland Browns
    The Cleveland Browns are a professional American football team based in Cleveland, Ohio, competing in the National Football League.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cb336c8190b8a55106fa8fc500 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec8741c048190b549782f49969f6a completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 2:39 a.m.