Triple

T14752160
Position Surface form Disambiguated ID Type / Status
Subject Foxcatcher E346636 entity
Predicate producer P490 FINISHED
Object Anthony Bregman E341073 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: Anthony Bregman | Statement: [Foxcatcher, producer, Anthony Bregman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Bregman
Context triple: [Foxcatcher, producer, Anthony Bregman]
  • A. Anthony Bregman chosen
    Anthony Bregman is an American film producer known for his work on acclaimed independent and character-driven films.
  • B. Josh Berman
    Josh Berman is an American television writer and producer known for creating and working on several popular drama and dramedy series.
  • C. Josh Berman
    Josh Berman is an American entrepreneur best known as a co-founder of the pioneering social networking site MySpace.
  • D. Steve Berman
    Steve Berman is a computer scientist and entrepreneur best known as a co-founder of the pioneering artificial intelligence company Symbolics.
  • E. Andrew Weisblum
    Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.