Triple
T11753056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-flat major |
E279454
|
entity |
| Predicate | enharmonicEquivalent |
P101166
|
FINISHED |
| Object | G-sharp major |
—
|
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: G-sharp major | Statement: [A-flat major, enharmonicEquivalent, G-sharp major]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enharmonicEquivalent Context triple: [A-flat major, enharmonicEquivalent, G-sharp major]
-
A.
diatonicScale
Indicates that a musical element (such as a note, chord, or melody) belongs to or is derived from a specific diatonic scale.
-
B.
usesHarmonics
Indicates that one entity employs harmonic frequencies or overtones of another entity or signal as part of its operation or behavior.
-
C.
hasNasalHarmony
Indicates that a phonological process causes nasality in one segment to spread to or be shared with other segments within a word or domain.
-
D.
tonalCenter
Indicates that one musical element functions as the primary pitch or key center around which another musical element is organized.
-
E.
hasFrequencyNote
Indicates that something is associated with a specific note describing how often it occurs or is repeated.
- 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_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. |
| PDg | Predicate description generation | batch_69d890467a2481909ce6c669e739c8de |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.