Triple

T14357575
Position Surface form Disambiguated ID Type / Status
Subject Atanacio E356010 entity
Predicate givenNameOf P17 FINISHED
Object Tony Pérez E71659 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: Tony Pérez | Statement: [Atanacio, givenNameOf, Tony Pérez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Pérez
Context triple: [Atanacio, givenNameOf, Tony Pérez]
  • A. Tony Pérez chosen
    Tony Pérez is a Hall of Fame Cuban-American first baseman and key run producer best known for his starring role with the Cincinnati Reds’ “Big Red Machine” dynasty of the 1970s.
  • B. Tony Perez
    Tony Perez is a professional boxing referee known for officiating major bouts, including high-profile championship fights.
  • C. Mike Schmidt
    Mike Schmidt is a Hall of Fame third baseman widely regarded as one of the greatest power hitters in baseball history.
  • D. Troy Worrell
    Troy Worrell is a video game industry figure best known as the founder of the development studio Interplay Productions.
  • E. Billy Cunningham
    Billy Cunningham is a Hall of Fame American basketball player and coach best known for his starring role with the Philadelphia 76ers in the 1960s and 1970s and later leading the team to an NBA championship as head coach.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.