Triple

T15692051
Position Surface form Disambiguated ID Type / Status
Subject Page Hannah E380354 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: [Page Hannah, relative, Haskell Wexler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haskell Wexler
Context triple: [Page Hannah, 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.