Triple
T11475049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D minor (BWV 1004) |
E272004
|
entity |
| Predicate | typicalKeySignature |
P83458
|
FINISHED |
| Object | one flat |
—
|
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: one flat | Statement: [D minor (BWV 1004), typicalKeySignature, one flat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalKeySignature Context triple: [D minor (BWV 1004), typicalKeySignature, one flat]
-
A.
typicalScaleDegreePattern
Indicates the usual or most common sequence of scale degrees that characterizes a particular melodic, harmonic, or stylistic pattern.
-
B.
hasKeySignature
chosen
Indicates that one musical work, passage, or notation is associated with a specific key signature defining its set of sharps or flats.
-
C.
typicalKey
Indicates that the referenced key is the standard or most commonly used key associated with an entity or context.
-
D.
typicalNotation
Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
-
E.
hasKeySignatureDistribution
Indicates that there is a specific pattern or spread of key signatures associated with the entity, describing how frequently or prominently different key signatures occur.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294c8dc48190a515f83c99405a3b |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.