Triple

T22803363
Position Surface form Disambiguated ID Type / Status
Subject The Capture E564462 entity
Predicate castMember P1668 FINISHED
Object Callum Turner 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: Callum Turner | Statement: [The Capture, castMember, Callum Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callum Turner
Context triple: [The Capture, castMember, Callum Turner]
  • A. Callum Turner chosen
    Callum Turner is a British actor and model known for roles in films such as "Green Room," the "Fantastic Beasts" series, and various acclaimed television dramas.
  • B. Lewis MacDougall
    Lewis MacDougall is a Scottish actor best known for his breakout role as the young protagonist in the fantasy drama film "A Monster Calls."
  • C. Callum Keith Rennie
    Callum Keith Rennie is a Canadian actor known for his versatile character roles in film and television, including notable performances in series like Battlestar Galactica and Due South.
  • D. Aidan Chambers
    Aidan Chambers is a British author and critic best known for his innovative and award-winning young adult novels, including the Carnegie Medal–winning "Postcards from No Man’s Land."
  • E. Jonathan Firth
    Jonathan Firth is a British actor known for his work in film, television, and theatre, including period dramas and literary adaptations.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5a7c2881909a7aaacddd09f00c completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:31 p.m.