Triple

T8875259
Position Surface form Disambiguated ID Type / Status
Subject Morgan Eastwood E211261 entity
Predicate relative P37 FINISHED
Object Francesca Eastwood E145084 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: Francesca Eastwood | Statement: [Morgan Eastwood, relative, Francesca Eastwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francesca Eastwood
Context triple: [Morgan Eastwood, relative, Francesca Eastwood]
  • A. Francesca Eastwood chosen
    Francesca Eastwood is an American actress, model, and television personality, 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. Alison Eastwood
    Alison Eastwood is an American actress, director, and fashion model, and the daughter of filmmaker Clint Eastwood.
  • D. Rosanna Arquette
    Rosanna Arquette is an American actress and filmmaker known for her roles in films such as "Desperately Seeking Susan" and "Pulp Fiction."
  • 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 (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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614565788190aa14535760df88c8 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f9714c8190909587eecbb10e1a completed April 3, 2026, 11:14 a.m.
Created at: March 30, 2026, 6:52 p.m.