Triple

T12449151
Position Surface form Disambiguated ID Type / Status
Subject San Andreas E297483 entity
Predicate screenwriter P2831 FINISHED
Object Carlton Cuse E195712 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: Carlton Cuse | Statement: [San Andreas, screenwriter, Carlton Cuse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlton Cuse
Context triple: [San Andreas, screenwriter, Carlton Cuse]
  • A. Carlton Cuse chosen
    Carlton Cuse is an American television writer and producer best known for co-creating and showrunning series such as Lost, Bates Motel, and other high-profile genre dramas.
  • B. James DeMonaco
    James DeMonaco is an American filmmaker and screenwriter best known for creating and writing the dystopian horror franchise "The Purge."
  • C. Damon Lindelof
    Damon Lindelof is an American screenwriter and producer best known as the co-creator of the television series "Lost" and for his work on major science fiction and genre films and shows.
  • D. Jack Behr
    Jack Behr is a screenwriter known for his work on the film "Birdy."
  • E. Jason Katims
    Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1501448190b0a95d7cd249ca9d completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.