Triple

T10602103
Position Surface form Disambiguated ID Type / Status
Subject Afrodisiac E275774 entity
Predicate producer P490 FINISHED
Object Ron Feemster E275774 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 Feemster | Statement: [Afrodisiac, producer, Ron Feemster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Feemster
Context triple: [Afrodisiac, producer, Ron Feemster]
  • A. Ron Feemster chosen
    Ron Feemster is a music producer known for his work on the album "Afrodisiac."
  • B. Chris Mullen
    Chris Mullen is a relatively obscure individual whose primary noted distinction is sharing the surname associated with the more widely recognized figure, former NBA star Chris Mullin.
  • C. David Stavens
    David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
  • D. Tim Latta
    Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
  • E. Justin E. Driscoll
    Justin E. Driscoll is an American energy executive who leads the New York Power Authority, the nation’s largest state-owned electric utility.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b698f308190be8ee1e6bc8481d3 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 7:31 p.m.