Triple

T9754020
Position Surface form Disambiguated ID Type / Status
Subject Mater E236509 entity
Predicate voicedBy P2181 FINISHED
Object Larry the Cable Guy E236513 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: Larry the Cable Guy | Statement: [Mater, voicedBy, Larry the Cable Guy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry the Cable Guy
Context triple: [Mater, voicedBy, Larry the Cable Guy]
  • A. Larry the Cable Guy chosen
    Larry the Cable Guy is an American stand-up comedian and actor best known for his blue-collar comedy persona and his role as Mater in the Disney-Pixar Cars film series.
  • B. Dan Quagmire
    Dan Quagmire is a minor character in the animated television series "Family Guy," known primarily as the father of Glenn Quagmire.
  • C. Gilbert Gottfried
    Gilbert Gottfried was an American stand-up comedian and actor known for his shrill, distinctive voice and roles in films, television, and voiceover work, including voicing Iago in Disney’s Aladdin.
  • D. Chris Kattan
    Chris Kattan is an American comedian and actor best known for his work on "Saturday Night Live" and roles in films like "A Night at the Roxbury."
  • E. Paul F. Tompkins
    Paul F. Tompkins is an American comedian, actor, and writer known for his stand-up, podcast appearances, and character roles in television and film.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.