Triple

T2124714
Position Surface form Disambiguated ID Type / Status
Subject WALL-E E46399 entity
Predicate voiceActor P1507 FINISHED
Object Fred Willard E167027 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: Fred Willard | Statement: [WALL-E, voiceActor, Fred Willard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Willard
Context triple: [WALL-E, voiceActor, Fred Willard]
  • A. Fred Willard chosen
    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.
  • B. Charles Matthau
    Charles Matthau is an American film and television director and producer, and the son of actor Walter Matthau.
  • C. Walter Matthau
    Walter Matthau was an American actor renowned for his gruff charm and comedic roles in films such as "The Odd Couple" and "The Bad News Bears."
  • D. Jim Backus
    Jim Backus was an American actor and voice artist best known for voicing the cartoon character Mr. Magoo and portraying Thurston Howell III on the television series "Gilligan's Island."
  • E. Tim Conway
    Tim Conway was an American comedic actor and writer best known for his work on "The Carol Burnett Show" and his improvisational, physical comedy.
  • 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_69ae5d8e61d48190af0becdc5a040cd9 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:44 p.m.