Triple

T4441298
Position Surface form Disambiguated ID Type / Status
Subject Pumping Iron E95775 entity
Predicate cinematographyBy P1953 FINISHED
Object Robert Fiore E439278 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: Robert Fiore | Statement: [Pumping Iron, cinematographyBy, Robert Fiore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Fiore
Context triple: [Pumping Iron, cinematographyBy, Robert Fiore]
  • A. Robert Fiore chosen
    Robert Fiore is an American documentary filmmaker best known for co-directing the influential 1977 bodybuilding film "Pumping Iron."
  • B. Alan Di Fiore
    Alan Di Fiore is a Canadian screenwriter and producer known for his work in film and television, including co-writing the thriller "Money Monster."
  • C. Mike Fiore
    Mike Fiore is an American college baseball player best known for being the inaugural recipient of the prestigious Dick Howser Trophy, awarded to the nation's top collegiate player.
  • D. Jon G. Burns
    Jon G. Burns is an American Republican politician serving as Speaker of the Georgia House of Representatives.
  • E. Fred Tatasciore
    Fred Tatasciore is an American voice actor known for his deep, powerful vocal performances in numerous animated series, films, and video games, often portraying larger-than-life or monstrous characters.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ad71588190b1dcad4250472c29 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.