Triple

T3170497
Position Surface form Disambiguated ID Type / Status
Subject The Carousel Waltz E66318 entity
Predicate hasTempoChanges P46727 FINISHED
Object yes 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: yes | Statement: [The Carousel Waltz, hasTempoChanges, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTempoChanges
Context triple: [The Carousel Waltz, hasTempoChanges, yes]
  • A. hasBPMApprox
    Indicates an approximate beats-per-minute (BPM) value associated with an entity, rather than an exact measured tempo.
  • B. typicalTempoControl
    Indicates that one entity serves as the usual or standard means by which the tempo of another entity (such as a process or activity) is regulated or controlled.
  • C. hasTimeSignature
    Indicates that a musical work, passage, or segment is associated with a specific time signature defining its rhythmic meter.
  • D. tempo
    Indicates the speed or pace at which an action, process, or sequence unfolds over time.
  • E. tempoFeature
    Indicates a relationship where a musical or rhythmic element is characterized by, or associated with, a specific tempo-related property or feature.
  • F. None of above. chosen

Provenance (4 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66c043081908eb23a4fe3420a78 completed March 8, 2026, 4:40 p.m.
PD Predicate disambiguation batch_69ad9e0076b4819094628f1ad10b8f68 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada20880e481908ecac09d49b1f1c3 completed March 8, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:06 p.m.