Triple

T20462375
Position Surface form Disambiguated ID Type / Status
Subject Detective Story E501956 entity
Predicate castMember P1668 FINISHED
Object Lee Grant 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: Lee Grant | Statement: [Detective Story, castMember, Lee Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Grant
Context triple: [Detective Story, castMember, Lee Grant]
  • A. Lee Grant chosen
    Lee Grant is an Academy Award–winning American actress and director known for her powerful film and television performances and later work as a documentarian.
  • B. Shirley Heath
    Shirley Heath is a large open heathland and recreational green space located in the Shirley area of the West Midlands, England.
  • C. Piper Laurie
    Piper Laurie was an acclaimed American actress known for her intense performances in films like "Carrie" and "The Hustler" and the TV series "Twin Peaks."
  • D. Diane Ladd
    Diane Ladd is an American actress, director, and producer known for her acclaimed film and television roles, including her Academy Award–nominated performances and frequent collaborations with her daughter, Laura Dern.
  • E. Carroll Baker
    Carroll Baker is an American actress best known for her provocative breakout role in "Baby Doll" (1956) and a series of notable performances in 1950s and 1960s Hollywood films.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a761648190b24cf4bb90a8abb1 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.