Triple

T22092411
Position Surface form Disambiguated ID Type / Status
Subject Red Dawn (2012 film) E545942 entity
Predicate castMember P1668 FINISHED
Object Brett Cullen NE NERFINISHED

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: Brett Cullen | Statement: [Red Dawn (2012 film), castMember, Brett Cullen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brett Cullen
Context triple: [Red Dawn (2012 film), castMember, Brett Cullen]
  • A. Brett Cullen chosen
    Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
  • B. Ian George
    Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
  • C. Timothy Busfield
    Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
  • D. George Marino
    George Marino was a renowned American mastering engineer known for his work on numerous classic rock and metal albums over several decades.
  • E. Oliver Hudson
    Oliver Hudson is an American actor known for his roles in television series such as "Rules of Engagement," "Nashville," and "Scream Queens."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.