Triple

T16518715
Position Surface form Disambiguated ID Type / Status
Subject Teryl Austin E401256 entity
Predicate employer P7 FINISHED
Object Pittsburgh Steelers E10651 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: Pittsburgh Steelers | Statement: [Teryl Austin, employer, Pittsburgh Steelers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pittsburgh Steelers
Context triple: [Teryl Austin, employer, Pittsburgh Steelers]
  • A. Pittsburgh Steelers chosen
    The Pittsburgh Steelers are a storied NFL franchise based in Pittsburgh, Pennsylvania, known for their six Super Bowl titles and dominant defenses throughout league history.
  • B. Steelers
    The Steelers are a professional ice hockey team based in Sheffield, England, competing in the UK's Elite Ice Hockey League.
  • C. Steelers
    The Steelers are a Japanese rugby union team, officially known as the Kobelco Steelers, that competes in Japan Rugby League One.
  • D. Steelers
    The Steelers are an Australian rugby league club based in the Illawarra region of New South Wales.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7ec45c8190b5e2c4a5f707e332 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2363208190beb218e633d0627e completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:14 a.m.