Triple

T14120881
Position Surface form Disambiguated ID Type / Status
Subject Kevin Lima E339899 entity
Predicate spouse P13 FINISHED
Object Brenda Chapman E173064 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: Brenda Chapman | Statement: [Kevin Lima, spouse, Brenda Chapman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenda Chapman
Context triple: [Kevin Lima, spouse, Brenda Chapman]
  • A. Brenda Chapman chosen
    Brenda Chapman is an American animator, screenwriter, and director best known for her pioneering work at major studios like Disney and Pixar, including co-directing the Oscar-winning film "Brave."
  • B. 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.
  • C. Hannah Unkrich
    Hannah Unkrich is the daughter of American film editor and director Lee Unkrich, known for his work at Pixar Animation Studios.
  • D. Tina DiMartino
    Tina DiMartino is an American former professional soccer midfielder who played in Women’s Professional Soccer and represented the United States at youth and senior national team levels.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf07feb48190b7519204b4f789b4 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.