Triple

T22002610
Position Surface form Disambiguated ID Type / Status
Subject Maureen O'Sullivan E543367 entity
Predicate child P120 FINISHED
Object Stephanie Farrow 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: Stephanie Farrow | Statement: [Maureen O'Sullivan, child, Stephanie Farrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephanie Farrow
Context triple: [Maureen O'Sullivan, child, Stephanie Farrow]
  • A. Stephanie Farrow chosen
    Stephanie Farrow is an American actress and model best known as the younger sister of actress Mia Farrow.
  • 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. Prudence Farrow
    Prudence Farrow is an American meditation teacher and author best known as the inspiration for the Beatles song "Dear Prudence."
  • D. Mia Farrow
    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.
  • E. Kathleen Harrison
    Kathleen Harrison is an American ethnobotanist and researcher known for her work on the cultural and spiritual uses of plants, as well as for her long association with psychedelic philosopher Terence McKenna.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276bf2a48190910d9c27f1c5e74f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.