Triple
T11753078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-flat major |
E279454
|
entity |
| Predicate | isNotatedWithClef |
P27297
|
FINISHED |
| Object | treble clef |
—
|
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: treble clef | Statement: [A-flat major, isNotatedWithClef, treble clef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotatedWithClef Context triple: [A-flat major, isNotatedWithClef, treble clef]
-
A.
usesClef
chosen
Indicates that one entity employs or applies a particular clef in a musical notation context.
-
B.
usesInterpretiveStaff
Indicates that an entity relies on interpretive staff (such as guides, educators, or docents) to convey information, context, or explanations about something to an audience.
-
C.
hasKeySignature
Indicates that one musical work, passage, or notation is associated with a specific key signature defining its set of sharps or flats.
-
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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.