Triple

T2124651
Position Surface form Disambiguated ID Type / Status
Subject Cars E46398 entity
Predicate voiceActor P1507 FINISHED
Object John Ratzenberger E240000 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: John Ratzenberger | Statement: [Cars, voiceActor, John Ratzenberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Ratzenberger
Context triple: [Cars, voiceActor, John Ratzenberger]
  • A. John Ratzenberger chosen
    John Ratzenberger is an American actor and voice actor best known for his role as Cliff Clavin on "Cheers" and for voicing characters in numerous Pixar animated films.
  • B. John Ritter
    John Ritter was an American actor and comedian best known for his role as Jack Tripper on the hit sitcom "Three's Company."
  • C. Harvey Korman
    Harvey Korman was an American comedic actor best known for his work on *The Carol Burnett Show* and in Mel Brooks films such as *Blazing Saddles* and *History of the World, Part I*.
  • D. Bill Farmer
    Bill Farmer is an American voice actor best known for voicing Disney characters such as Goofy and Pluto.
  • E. Fred Willard
    Fred Willard was an American comedic actor and improviser known for his deadpan delivery and scene-stealing roles in mockumentaries like "Best in Show" and numerous television comedies.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ac8a0081909cbb1187513bfc56 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:44 p.m.