Triple

T22231727
Position Surface form Disambiguated ID Type / Status
Subject Dan Fouts E549482 entity
Predicate coach P2169 FINISHED
Object Don Coryell NE NERFINISHED

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: Don Coryell | Statement: [Dan Fouts, coach, Don Coryell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Coryell
Context triple: [Dan Fouts, coach, Don Coryell]
  • A. Don Coryell chosen
    Don Coryell was an innovative American football coach best known for pioneering the modern vertical passing offense that transformed the NFL.
  • B. Sam Wyche
    Sam Wyche was an innovative American football coach and former NFL quarterback best known for leading the Cincinnati Bengals to prominence in the late 1980s with his up-tempo, no-huddle offense.
  • C. Don Faurot
    Don Faurot was a prominent American college football coach and innovator, best known for his long tenure at the University of Missouri and for developing the Split-T formation.
  • D. Phil Bennett
    Phil Bennett is a fictional character who serves as a member of the Starship crew in the related science fiction universe.
  • E. Bernie Kosar
    Bernie Kosar is a former American football quarterback best known for leading the University of Miami to a national championship and later starring in the NFL with the Cleveland Browns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf3de648190986a734f19643a8c completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.