Triple

T18336363
Position Surface form Disambiguated ID Type / Status
Subject Pumping Iron E439279 entity
Predicate producer P490 FINISHED
Object Jerome Gary 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: Jerome Gary | Statement: [Pumping Iron, producer, Jerome Gary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome Gary
Context triple: [Pumping Iron, producer, Jerome Gary]
  • A. Jerome Gary chosen
    Jerome Gary is a film producer best known for his work on the influential 1977 bodybuilding documentary "Pumping Iron."
  • B. Jerome Leroy
    Jerome Leroy is a composer known for his work on film scores and other screen music.
  • C. Jerome Arnold
    Jerome Arnold is an American blues bassist best known for his work with influential Chicago blues acts, including the Paul Butterfield Blues Band.
  • D. Jerome Webster
    Jerome Webster is the protagonist of the 1938 film "City," around whom the story’s central conflicts and developments revolve.
  • E. Jerome Richardson
    Jerome Richardson was an American jazz saxophonist, flutist, and clarinetist known for his versatile session work and collaborations with prominent big bands and small ensembles from the 1940s onward.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecd759481909703ed2d0d68199f completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.