Triple

T3249060
Position Surface form Disambiguated ID Type / Status
Subject Fun and Fancy Free E68132 entity
Predicate voiceActor P1507 FINISHED
Object Pinto Colvig E173773 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: Pinto Colvig | Statement: [Fun and Fancy Free, voiceActor, Pinto Colvig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinto Colvig
Context triple: [Fun and Fancy Free, voiceActor, Pinto Colvig]
  • A. Pinto Colvig chosen
    Pinto Colvig was an American voice actor, animator, and clown best known for originating the voice of Disney’s Goofy and contributing to numerous early Disney cartoons and films.
  • B. Jean Berko Gleason
    Jean Berko Gleason is an American psycholinguist best known for her pioneering "wug test," which demonstrated how children acquire morphological rules in language.
  • C. Pat Carroll
    Pat Carroll is a former American shooting guard best known for his prolific three-point shooting and standout collegiate career with Saint Joseph's University in the early 2000s.
  • D. Nolan Wallach
    Nolan Wallach is an American mathematician known for his influential work in representation theory, Lie groups, and harmonic analysis.
  • E. Hank Corwin
    Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776934108190ac405ba5ebd47084 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:09 p.m.