Triple

T3213258
Position Surface form Disambiguated ID Type / Status
Subject Baby Doll E67330 entity
Predicate cinematographyBy P1953 FINISHED
Object Boris Kaufman E336517 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: Boris Kaufman | Statement: [Baby Doll, cinematographyBy, Boris Kaufman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boris Kaufman
Context triple: [Baby Doll, cinematographyBy, Boris Kaufman]
  • A. Boris Kaufman chosen
    Boris Kaufman was an Academy Award–winning cinematographer known for his influential work on classic films such as "On the Waterfront."
  • B. Haskell Wexler
    Haskell Wexler was an acclaimed American cinematographer and filmmaker known for his innovative visual style and influential work on both narrative features and political documentaries.
  • C. Robby Müller
    Robby Müller was a renowned Dutch cinematographer celebrated for his innovative, naturalistic visual style in films by directors such as Wim Wenders and Jim Jarmusch.
  • D. Paul Kroitor
    Paul Kroitor is the child of renowned Canadian filmmaker and IMAX co-founder Roman Kroitor.
  • E. Leslie Kroitor
    Leslie Kroitor is a child of Canadian filmmaker and IMAX co-founder Roman Kroitor.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaabba8e481909118d9f888ddcd63 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28e864a1c8190b56ab9e80f72e48c completed March 12, 2026, 9:59 a.m.
Created at: March 8, 2026, 3:07 p.m.