Triple

T8028801
Position Surface form Disambiguated ID Type / Status
Subject Carousel (film) E186922 entity
Predicate stars P1956 FINISHED
Object Cameron Mitchell E319656 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: Cameron Mitchell | Statement: [Carousel (film), stars, Cameron Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cameron Mitchell
Context triple: [Carousel (film), stars, Cameron Mitchell]
  • A. Cameron Mitchell chosen
    Cameron Mitchell was an American film, television, and stage actor known for his prolific character roles in mid-20th-century Hollywood productions.
  • B. Cameron Roberts
    Cameron Roberts is a fictional character known as one of Vince Tyler’s romantic partners in the British television series "Queer as Folk."
  • C. Cameron Douglas
    Cameron Douglas is an American actor and author best known as the son of actor Michael Douglas and for his memoir detailing his struggles with addiction and incarceration.
  • D. Cameron Thomaz
    Cameron Thomaz, better known by his stage name Wiz Khalifa, is an American rapper, singer, and songwriter recognized for his melodic style and numerous chart-topping hits.
  • E. Cameron Finley
    Cameron Finley is an American former child actor best known for his roles in 1990s films such as "Hope Floats" and "Leave It to Beaver."
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecdbc5881909246982b93978841 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e146048190a97b3b37d1eec0b8 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:21 p.m.