Triple

T5708966
Position Surface form Disambiguated ID Type / Status
Subject Mia Farrow E125855 entity
Predicate father P120 FINISHED
Object John Farrow E454406 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: John Farrow | Statement: [Mia Farrow, father, John Farrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Farrow
Context triple: [Mia Farrow, father, John Farrow]
  • A. John Farrow chosen
    John Farrow was an Academy Award–winning Australian-born film director, screenwriter, and producer active in Hollywood during the mid-20th century.
  • B. Peter Neal
    Peter Neal is an American lawyer known for being married to Naomi Biden, the granddaughter of U.S. President Joe Biden.
  • C. Farley Granger
    Farley Granger was an American actor best known for his roles in classic mid-20th-century films such as Alfred Hitchcock’s "Rope" and "Strangers on a Train."
  • D. Joel Harlow
    Joel Harlow is an Academy Award-winning American makeup artist and special effects designer known for his work on films such as "Star Trek" and "Pirates of the Caribbean."
  • E. Rod Taylor
    Rod Taylor was an Australian-born actor best known for his leading roles in films such as Alfred Hitchcock’s "The Birds" and George Pal’s "The Time Machine," as well as extensive work in both film and television from the 1950s through the 1980s.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248ab6a88190be17bdc32c36e5cb completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6f5ac08190b5acbccea756d2de completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.