Triple

T12708232
Position Surface form Disambiguated ID Type / Status
Subject Prelude in C minor, BWV 847 E303644 entity
Predicate tonalSystem P106289 FINISHED
Object well-tempered tuning 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: well-tempered tuning | Statement: [Prelude in C minor, BWV 847, tonalSystem, well-tempered tuning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tonalSystem
Context triple: [Prelude in C minor, BWV 847, tonalSystem, well-tempered tuning]
  • A. tonalCenter
    Indicates that one musical element functions as the primary pitch or key center around which another musical element is organized.
  • B. tonalCharacteristic
    Indicates the specific quality or character of a sound’s tone, such as its color, texture, or expressive nuance, in relation to an entity.
  • C. tonal
    Indicates that one entity has a tone, pitch pattern, or tonal quality in relation to another (such as a language, sound, or musical element).
  • D. diatonicScale
    Indicates that a musical element (such as a note, chord, or melody) belongs to or is derived from a specific diatonic scale.
  • E. musicTheoryContext
    Indicates that one entity is interpreted or analyzed within the framework, rules, or concepts of music theory in relation to another entity or situation.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620663e881908d367170ed6d2c81 completed April 10, 2026, 8:48 p.m.
PD Predicate disambiguation batch_69d960c088dc8190b0e63312c54e4c6c completed April 10, 2026, 8:42 p.m.
PDg Predicate description generation batch_69d961acadb8819098de743bc951fedb completed April 10, 2026, 8:46 p.m.
Created at: April 9, 2026, 5:23 p.m.