Triple

T18160551
Position Surface form Disambiguated ID Type / Status
Subject Diane Ford E434746 entity
Predicate child P120 FINISHED
Object Randy Ford 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: Randy Ford | Statement: [Diane Ford, child, Randy Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randy Ford
Context triple: [Diane Ford, child, Randy Ford]
  • A. Randy Ford chosen
    Randy Ford is a member of the Ford family from Toronto, known primarily as the brother of the late former Toronto mayor Rob Ford.
  • B. Randy Turpin
    Randy Turpin was a British middleweight boxing champion best known for his stunning 1951 upset victory over Sugar Ray Robinson.
  • C. Randy Waldrum
    Randy Waldrum is an American soccer coach best known for his long tenure leading the Notre Dame women’s team to multiple NCAA titles and for managing both professional clubs and national women’s teams.
  • D. Randy Smith
    Randy Smith was an American professional basketball guard best known for his high-scoring, durable play in the 1970s NBA, particularly with the Buffalo Braves.
  • E. Randy Miller
    Randy Miller is a film composer best known for scoring movies such as the long-distance running drama "Without Limits."
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec21e6081909070491f679c873c completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.