Triple

T2246043
Position Surface form Disambiguated ID Type / Status
Subject 82nd Academy Awards E49505 entity
Predicate bestOriginalScoreWinner P10678 FINISHED
Object Up E46400 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: Up | Statement: [82nd Academy Awards, bestOriginalScoreWinner, Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Up
Context triple: [82nd Academy Awards, bestOriginalScoreWinner, Up]
  • A. Up chosen
    Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
  • B. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • C. UP
    UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
  • D. UP-W
    UP-W is the service designation used by Metra for its Union Pacific West commuter rail line in the Chicago metropolitan area.
  • E. UP 200
    UP 200 is a prominent mid-distance sled dog race held annually in Michigan’s Upper Peninsula, attracting mushers and teams from across North America.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ea75d881909d4e176a432f32e8 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f0361d08190922d21c89d32c869 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:47 p.m.