Triple

T20253597
Position Surface form Disambiguated ID Type / Status
Subject Hoop Dreams E498623 entity
Predicate cinematographyBy P1953 FINISHED
Object Peter Gilbert 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: Peter Gilbert | Statement: [Hoop Dreams, cinematographyBy, Peter Gilbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Gilbert
Context triple: [Hoop Dreams, cinematographyBy, Peter Gilbert]
  • A. Peter Gilbert chosen
    Peter Gilbert is an American cinematographer and documentary filmmaker best known for his work on influential sports and social-issue films such as "Hoop Dreams" and the Steve Prefontaine biopic "Prefontaine."
  • B. Peter Gillett
    Peter Gillett is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gillett.
  • C. Rod Gilbert
    Rod Gilbert was a Canadian Hall of Fame right winger best known as one of the greatest players in New York Rangers history.
  • D. David Gillett
    David Gillett is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Gillett.
  • E. Peter Salisbury
    Peter Salisbury is an English drummer best known as the founding and longtime percussionist of the alternative rock band The Verve.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673aa42348190852ae8313f4494ca completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.