Triple

T2139786
Position Surface form Disambiguated ID Type / Status
Subject Toy Story 2 E46735 entity
Predicate director P255 FINISHED
Object John Lasseter E46406 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 Lasseter | Statement: [Toy Story 2, director, John Lasseter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lasseter
Context triple: [Toy Story 2, director, John Lasseter]
  • A. John Lasseter chosen
    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.
  • B. 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.
  • C. Pete Docter
    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.
  • D. 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.
  • E. Nancy Lasseter
    Nancy Lasseter is the wife of animator and film director John Lasseter and is known for her involvement in charitable and community activities, particularly in the Napa Valley wine region.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe025d3c81908bcb33a7ff09eae8 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de6f85f88190905882d24cc51c2d completed March 11, 2026, 9:28 p.m.
Created at: March 4, 2026, 7:44 p.m.