Triple

T21170310
Position Surface form Disambiguated ID Type / Status
Subject Billy Crocker E521672 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Reno Sweeney 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: Reno Sweeney | Statement: [Billy Crocker, associatedWithCharacter, Reno Sweeney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reno Sweeney
Context triple: [Billy Crocker, associatedWithCharacter, Reno Sweeney]
  • A. Reno Sweeney chosen
    Reno Sweeney is the brassy, wisecracking nightclub singer and evangelist who serves as the charismatic leading lady in the classic Cole Porter musical "Anything Goes."
  • B. Charlie Dunbar
    Charlie Dunbar Broad was a prominent 20th-century British philosopher known for his influential work in epistemology, ethics, and the philosophy of mind.
  • C. Lonny Baxter
    Lonny Baxter is a former American professional basketball player best known for starring on the University of Maryland team that won the 2002 NCAA championship.
  • D. Sweeney Schriner
    Sweeney Schriner was a Canadian Hall of Fame right winger in the National Hockey League, best known for his scoring prowess in the 1930s and 1940s.
  • E. Sam Sneed
    Sam Sneed is an American hip hop producer and rapper best known for his work with Death Row Records in the 1990s.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72712893081908e394ccc7e0cbb53 completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.