Triple

T2140071
Position Surface form Disambiguated ID Type / Status
Subject Pete Docter E46739 entity
Predicate notableWork P4 FINISHED
Object Inside Out E46737 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: Inside Out | Statement: [Pete Docter, notableWork, Inside Out]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inside Out
Context triple: [Pete Docter, notableWork, Inside Out]
  • A. Inside Out chosen
    Inside Out is a 2015 Pixar animated film that personifies a young girl's emotions as characters to explore her inner psychological world during a major life change.
  • B. Inside Out 2
    Inside Out 2 is an animated Pixar sequel that continues the story inside Riley’s mind as she faces new emotions and challenges during her adolescence.
  • C. Coco
    Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
  • D. Big Eyes
    Big Eyes is a 2014 biographical drama film directed by Tim Burton that tells the story of painter Margaret Keane and the legal battle over the credit for her distinctive big-eyed children paintings.
  • E. Wreck-It Ralph
    Wreck-It Ralph is a 2012 animated film that follows a video game villain who longs to be a hero, blending arcade-game nostalgia with heartfelt storytelling and humor.
  • 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_69abbe04135c8190ab100b4b3879cb01 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d5535c8190b59293afe3a10834 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.