Triple

T13566902
Position Surface form Disambiguated ID Type / Status
Subject Ray Foulk E324059 entity
Predicate hasSibling P363 FINISHED
Object Ron Foulk E323582 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: Ron Foulk | Statement: [Ray Foulk, hasSibling, Ron Foulk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Foulk
Context triple: [Ray Foulk, hasSibling, Ron Foulk]
  • A. Ron Foulk chosen
    Ron Foulk is a British music promoter best known for co-founding and organizing the original Isle of Wight Festival, one of the landmark rock festivals of the late 1960s and early 1970s.
  • B. Rick Fehr
    Rick Fehr is an American professional golfer who competed primarily on the PGA Tour, earning multiple victories during the 1980s and 1990s.
  • C. Don Saleski
    Don Saleski is a former NHL right winger best known for his gritty, physical play with the Philadelphia Flyers during their 1970s "Broad Street Bullies" era.
  • D. Rob Hotaling
    Rob Hotaling is an American politician who ran as an independent candidate for governor of Connecticut in the 2022 election.
  • E. Matt Buckner
    Matt Buckner is the American college student protagonist of the film "Green Street Hooligans," who becomes deeply involved with an English football firm after moving to London.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00cecd48190a9a2caff3d424817 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a838581c819092a195f60673b743 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:48 p.m.