Triple
T38599251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C major |
E934164
|
entity |
| Predicate | hasScaleDegree4 |
P100464
|
FINISHED |
| Object | F |
—
|
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: F | Statement: [C major, hasScaleDegree4, F]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScaleDegree4 Context triple: [C major, hasScaleDegree4, F]
-
A.
scaleDegree4
chosen
Indicates that one musical pitch or chord functions as the fourth degree (subdominant) of a given scale or key.
-
B.
hasScaleDegree3
Indicates that one musical element functions as the third scale degree relative to a specified tonal center or key.
-
C.
hasScaleDegree1
Indicates that one musical element functions as the first (tonic) scale degree in relation to a specified key or tonal center.
-
D.
hasScaleDegree2
Indicates that one musical element functions as the second scale degree relative to a specified tonal center or key.
-
E.
typicalScaleDegreePattern
Indicates the usual or most common sequence of scale degrees that characterizes a particular melodic, harmonic, or stylistic pattern.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 3, 2026, 4:32 p.m.