Triple

T22573952
Position Surface form Disambiguated ID Type / Status
Subject Digging for Fire E544344 entity
Predicate producer P490 FINISHED
Object Alicia Van Couvering 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: Alicia Van Couvering | Statement: [Digging for Fire, producer, Alicia Van Couvering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alicia Van Couvering
Context triple: [Digging for Fire, producer, Alicia Van Couvering]
  • A. Alicia Van Couvering chosen
    Alicia Van Couvering is a film producer known for her work on independent features and collaborations with emerging filmmakers.
  • B. Alicia Bradford
    Alicia Bradford was the wife of American industrialist and philanthropist Alfred I. du Pont.
  • C. Alicia Allain
    Alicia Allain was an American film producer and manager best known for her work in independent cinema and her marriage and creative partnership with actor John Schneider.
  • D. Alicia Austin
    Alicia Austin is an American illustrator and fantasy artist renowned for her distinctive work in science fiction and fantasy fandom, including award-winning fanzine and book illustrations.
  • E. Alicia Morton
    Alicia Morton is an American actress and singer best known for playing the title role in Disney’s 1999 television film adaptation of the musical "Annie."
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.