Triple

T10032208
Position Surface form Disambiguated ID Type / Status
Subject Eternal Sunshine of the Spotless Mind E204877 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: [Eternal Sunshine of the Spotless Mind, producer, Anthony Bregman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Bregman
Context triple: [Eternal Sunshine of the Spotless Mind, 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce461d6481908cc8f968856e0337 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282478578819085ca00fe140bb6c1 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.