Triple

T5273702
Position Surface form Disambiguated ID Type / Status
Subject Mulan (1998 film score) E119322 entity
Predicate usesMusicalElementsFrom P60129 FINISHED
Object traditional Chinese music 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: traditional Chinese music | Statement: [Mulan (1998 film score), usesMusicalElementsFrom, traditional Chinese music]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMusicalElementsFrom
Context triple: [Mulan (1998 film score), usesMusicalElementsFrom, traditional Chinese music]
  • A. usesMusicalElement chosen
    Indicates that one entity employs or incorporates a particular musical element (such as rhythm, melody, harmony, or timbre) in its composition, performance, or structure.
  • B. musicElement
    Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
  • C. musicalSymbol
    Indicates that one entity is a musical notation mark or sign associated with another entity in a musical context.
  • D. hasMusical
    Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
  • E. partOfMusical
    Indicates that something is a component, segment, or element belonging to a larger musical work or performance.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7d5a23908190a24e79d1b29d6fcf completed March 20, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69bd77c71268819094f9f5203eed392d completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:51 p.m.