Triple

T36113214
Position Surface form Disambiguated ID Type / Status
Subject Piano Sonata No. 7, Op. 64 "White Mass" E1044552 entity
Predicate hasTonalityAmbiguity P85014 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: [Piano Sonata No. 7, Op. 64 "White Mass", hasTonalityAmbiguity, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTonalityAmbiguity
Context triple: [Piano Sonata No. 7, Op. 64 "White Mass", hasTonalityAmbiguity, true]
  • A. hasTonalityShift chosen
    Indicates a change in the tonal quality, mood, or key within a piece or segment, marking a shift from one tonality to another.
  • B. inTonality
    Indicates that something (such as a musical element, passage, or piece) is expressed, structured, or interpreted within a specific musical key or tonal framework.
  • C. isToneNeutral
    Indicates that the tone of the referenced content is neither positive nor negative, but emotionally neutral or unbiased.
  • D. languageAmbiguity
    Indicates that the meaning, interpretation, or reference of a linguistic expression is unclear or can be understood in multiple ways.
  • E. hasPhonemicTone
    Indicates that a language, word, or syllable uses pitch differences (tones) as phonemic contrasts that can change meaning.
  • 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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd4d1854988190be093b103a681798 completed May 8, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69fd4c8d1a188190897c24527337814a completed May 8, 2026, 2:38 a.m.
Created at: May 3, 2026, 4:08 p.m.