Triple

T661991
Position Surface form Disambiguated ID Type / Status
Subject NFL Commissioner E11774 entity
Predicate officeHolder P537 FINISHED
Object Bert Bell E35461 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: Bert Bell | Statement: [NFL Commissioner, officeHolder, Bert Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bert Bell
Context triple: [NFL Commissioner, officeHolder, Bert Bell]
  • A. Bert Bell chosen
    Bert Bell was an influential American football executive who co-founded the Philadelphia Eagles and later served as NFL commissioner, helping shape the modern league.
  • B. Tim Mara
    Tim Mara was an American businessman best known for establishing and owning the New York Giants franchise in the National Football League.
  • C. John Whitehurst
    John Whitehurst was an 18th-century English clockmaker, scientist, and inventor known for his contributions to geology and membership in the influential Lunar Society of Birmingham.
  • D. Arthur Gettleman
    Arthur Gettleman was the husband of American actress Estelle Getty, best known for her role as Sophia Petrillo on the television series "The Golden Girls."
  • E. George Halas
    George Halas was a pioneering NFL coach, owner, and co-founder of the Chicago Bears who helped shape professional football in the 20th century.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd081e8819097f289961f5eff29 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a48ac88190bea34fc7df8b503e completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:36 p.m.