Triple

T11090899
Position Surface form Disambiguated ID Type / Status
Subject Kaitlyn Dias E262249 entity
Predicate workedOn P3 FINISHED
Object Pixar animated film 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: Pixar animated film Inside Out | Statement: [Kaitlyn Dias, workedOn, Pixar animated film Inside Out]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixar animated film Inside Out
Context triple: [Kaitlyn Dias, workedOn, Pixar animated film Inside Out]
  • A. "Inside Out"
    "Inside Out" is a country music studio album by American singer Trisha Yearwood, showcasing her emotive vocals and storytelling style.
  • B. Inside Out (2011 film)
    Inside Out is a 2011 American comedy film featuring Parker Posey in a prominent role.
  • C. Inside Out
    Inside Out is a 1991 Canadian drama film notable for being directed by Jason Gould.
  • D. Inside Out
    "Inside Out" is a song featured as a track on the album *Femme Fatale* by American pop singer Britney Spears.
  • E. 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.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7c586808190a576803b7406a49e completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.