Triple
T38599249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C major |
E934164
|
entity |
| Predicate | hasScaleDegree2 |
P195484
|
FINISHED |
| Object | D |
—
|
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: D | Statement: [C major, hasScaleDegree2, D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScaleDegree2 Context triple: [C major, hasScaleDegree2, D]
-
A.
hasScaleDegree1
Indicates that one musical element functions as the first (tonic) scale degree in relation to a specified key or tonal center.
-
B.
typicalScaleDegreePattern
Indicates the usual or most common sequence of scale degrees that characterizes a particular melodic, harmonic, or stylistic pattern.
-
C.
scaleDegree7
Indicates that one musical pitch or chord functions as the seventh scale degree in relation to a given tonal center or key.
-
D.
naturalMinorScale
Indicates that one musical entity is related to another as a natural minor scale built from its tonic, following the specific interval pattern of that scale.
-
E.
tonalityOfSecondMovement
Indicates the key or tonal center that characterizes the second movement of a musical work.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: May 3, 2026, 4:32 p.m.