Triple

T9549465
Position Surface form Disambiguated ID Type / Status
Subject Dziga Vertov E230380 entity
Predicate sibling P363 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: [Dziga Vertov, sibling, Boris Kaufman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boris Kaufman
Context triple: [Dziga Vertov, sibling, 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. Ethan Winogrand
    Ethan Winogrand is known primarily as a son of the influential American street photographer Garry Winogrand.
  • E. Paul Kroitor
    Paul Kroitor is the child of renowned 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9906bc90819086f105c453e63c83 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c82c98c8190a4fd6fc3ceb4173d completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.