Triple

T35234392
Position Surface form Disambiguated ID Type / Status
Subject Michelle Kwan’s “Salome” short program E1017330 entity
Predicate elementTypeIncluded P63681 FINISHED
Object triple lutz–double toe loop combination LITERAL 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: triple lutz–double toe loop combination | Statement: [Michelle Kwan’s “Salome” short program, elementTypeIncluded, triple lutz–double toe loop combination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: elementTypeIncluded
Context triple: [Michelle Kwan’s “Salome” short program, elementTypeIncluded, triple lutz–double toe loop combination]
  • A. componentIncluded
    Indicates that one entity is a constituent part or subcomponent that is contained within or included in another entity.
  • B. includesElement
    Indicates that one collection, set, or structure contains a specified element as a member or component.
  • C. hasElementType chosen
    Indicates that something is composed of or contains elements that are of a specified type.
  • D. selectionIncludes
    Indicates that a chosen set or subset explicitly contains or covers the specified element(s) as part of the selection.
  • E. hasIncluded
    Indicates that one entity has incorporated or contained another entity as part of itself or within its scope.
  • F. None of above.

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_69f76de12e4c8190bc46b71a32858356 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f63c8788190b253a18de5ca1312 completed May 3, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:02 p.m.