Triple

T5587636
Position Surface form Disambiguated ID Type / Status
Subject Alison Eastwood E146794 entity
Predicate name P16 FINISHED
Object Alison Eastwood E146794 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: Alison Eastwood | Statement: [Alison Eastwood, name, Alison Eastwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison Eastwood
Context triple: [Alison Eastwood, name, Alison Eastwood]
  • A. Alison Eastwood chosen
    Alison Eastwood is an American actress, director, and fashion model, and the daughter of filmmaker Clint Eastwood.
  • B. Kimber Lynn Eastwood
    Kimber Lynn Eastwood is an American film producer, makeup artist, and the daughter of actor-director Clint Eastwood.
  • C. Francesca Eastwood
    Francesca Eastwood is an American actress, model, and television personality, and the daughter of filmmaker Clint Eastwood.
  • D. Kathryn Eastwood
    Kathryn Eastwood is an American actress and screenwriter, best known as one of Clint Eastwood’s daughters and for her roles in several independent films.
  • E. Elisabeth Shue
    Elisabeth Shue is an American actress known for her roles in films such as "The Karate Kid," "Adventures in Babysitting," and "Leaving Las Vegas," for which she received an Academy Award nomination.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209d713081908b39ee8befb2faf7 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0918b088190b0fcd0ab02091eb2 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:38 p.m.