Triple

T16100010
Position Surface form Disambiguated ID Type / Status
Subject Jeff Wexler E390589 entity
Predicate relative P37 FINISHED
Object Haskell Wexler E84342 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: Haskell Wexler | Statement: [Jeff Wexler, relative, Haskell Wexler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haskell Wexler
Context triple: [Jeff Wexler, relative, Haskell Wexler]
  • A. Haskell Wexler chosen
    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.
  • B. Boris Kaufman
    Boris Kaufman was an Academy Award–winning cinematographer known for his influential work on classic films such as "On the Waterfront."
  • C. Ethan Winogrand
    Ethan Winogrand is known primarily as a son of the influential American street photographer Garry Winogrand.
  • D. Gordon Willis
    Gordon Willis was an influential American cinematographer, often called the "Prince of Darkness," renowned for his innovative use of shadow and light in films such as The Godfather series and Annie Hall.
  • E. William Klein
    William Klein was an influential American-born French photographer and filmmaker renowned for his gritty, innovative street photography and groundbreaking fashion work.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6756948190a7f5ecb375e59701 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ef00548190b802b4aaba907aa2 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5 a.m.