Triple

T2124445
Position Surface form Disambiguated ID Type / Status
Subject Monsters, Inc. E46395 entity
Predicate storyBy P1955 FINISHED
Object Pete Docter E46739 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: Pete Docter | Statement: [Monsters, Inc., storyBy, Pete Docter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Docter
Context triple: [Monsters, Inc., storyBy, Pete Docter]
  • A. Pete Docter chosen
    Pete Docter is an American animator, director, and screenwriter best known for creating and directing acclaimed Pixar films such as Monsters, Inc., Up, Inside Out, and Soul.
  • B. Lee Unkrich
    Lee Unkrich is an American film editor and director best known for his work at Pixar Animation Studios on acclaimed films such as Toy Story 3 and Coco.
  • C. Andrew Stanton
    Andrew Stanton is an American filmmaker and animator best known as a key creative force at Pixar, where he wrote and directed acclaimed films such as Finding Nemo and WALL·E.
  • D. John Lasseter
    John Lasseter is an American animator, director, and producer best known as a pioneering creative force behind Pixar’s early success and the director of landmark films like Toy Story.
  • E. Amanda Docter
    Amanda Docter is the wife of acclaimed Pixar director and animator Pete Docter.
  • 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_69af834e87b48190b3299c70a0679b47 completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:44 p.m.