Triple

T13645513
Position Surface form Disambiguated ID Type / Status
Subject Swedish Chef E326090 entity
Predicate portrayedBy P1507 FINISHED
Object Bill Barretta E1053714 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: Bill Barretta | Statement: [Swedish Chef, portrayedBy, Bill Barretta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Barretta
Context triple: [Swedish Chef, portrayedBy, Bill Barretta]
  • A. Bill Barretta chosen
    Bill Barretta is an American puppeteer, actor, producer, and director best known for his extensive work with The Muppets, performing and developing several major characters.
  • B. Joe Hogue
    Joe Hogue is a music producer known for his work on early recordings by pop artist Katy Perry (then performing as Katy Hudson).
  • C. Rob Barraco
    Rob Barraco is an American keyboardist and vocalist best known for his work with Grateful Dead-related bands such as The Dead and Phil Lesh & Friends.
  • D. Bob Sapp
    Bob Sapp is an American former NFL player turned kickboxer, mixed martial artist, and professional wrestler known for his massive physique and popular fights in Japan.
  • E. Fred Tatasciore
    Fred Tatasciore is an American voice actor known for his deep, powerful vocal performances in numerous animated series, films, and video games, often portraying larger-than-life or monstrous characters.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943306f08190b3a4c44e5b22db0a completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:51 p.m.