Triple

T21960117
Position Surface form Disambiguated ID Type / Status
Subject Kathryn Eastwood E542302 entity
Predicate hasRelative P367 FINISHED
Object Kimber Lynn Eastwood 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: Kimber Lynn Eastwood | Statement: [Kathryn Eastwood, hasRelative, Kimber Lynn Eastwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimber Lynn Eastwood
Context triple: [Kathryn Eastwood, hasRelative, Kimber Lynn Eastwood]
  • A. Kimber Lynn Eastwood chosen
    Kimber Lynn Eastwood is an American film producer, makeup artist, and the daughter of actor-director Clint Eastwood.
  • B. Alison Eastwood
    Alison Eastwood is an American actress, director, and fashion model, and the daughter of filmmaker Clint Eastwood.
  • C. Francesca Eastwood
    Francesca Eastwood is an American actress, model, and television personality, and the daughter of filmmaker Clint Eastwood.
  • D. Kelly Marie Kristofferson
    Kelly Marie Kristofferson is one of the children of American singer-songwriter and actor Kris Kristofferson, known primarily for her connection to the Kristofferson family.
  • E. 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.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12454a290819094d4b56547816e3f completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.