Triple

T18592608
Position Surface form Disambiguated ID Type / Status
Subject John Farrow E454406 entity
Predicate child P120 FINISHED
Object Mia Farrow E125855 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: Mia Farrow | Statement: [John Farrow, child, Mia Farrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mia Farrow
Context triple: [John Farrow, child, Mia Farrow]
  • A. Mia Farrow chosen
    Mia Farrow is an American actress and humanitarian known for her roles in films like "Rosemary's Baby" and for her extensive advocacy work with UNICEF.
  • B. Tisa Farrow
    Tisa Farrow is an American actress known for her roles in 1970s and 1980s films, including several cult horror and exploitation movies.
  • C. Stephanie Farrow
    Stephanie Farrow is an American actress and model best known as the younger sister of actress Mia Farrow.
  • D. Molly Elizabeth Brolin
    Molly Elizabeth Brolin is an American film and television producer and assistant director, known for her behind-the-scenes work in the entertainment industry and as the daughter of actor James Brolin.
  • E. Francesca Eastwood
    Francesca Eastwood is an American actress, model, and television personality, and the daughter of filmmaker Clint Eastwood.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b6792481908eae92718aa4c889 completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f898b59481909aa72291b24a4cd0 completed May 13, 2026, 10:18 p.m.
Created at: April 10, 2026, 11:44 a.m.