Triple

T27347306
Position Surface form Disambiguated ID Type / Status
Subject Time Out E684263 entity
Predicate usesUnusualTimeSignatures P136553 FINISHED
Object true 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: true | Statement: [Time Out, usesUnusualTimeSignatures, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesUnusualTimeSignatures
Context triple: [Time Out, usesUnusualTimeSignatures, true]
  • A. hasTimeSignatureComplexity chosen
    Indicates that one musical work, passage, or pattern is characterized by a specified level or type of complexity in its time signature.
  • B. hasTimeSignature
    Indicates that a musical work, passage, or segment is associated with a specific time signature defining its rhythmic meter.
  • C. hasTempoVariety
    Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
  • D. timeSignatureChange
    Indicates a change from one musical time signature to another within a piece or passage.
  • E. hasTempoChanges
    Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
  • 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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62ba48564819091f2f7f2db3178ce completed May 2, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69f620e4b1c88190a17940251abc68fd completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 11:46 a.m.