Triple
T11590225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E major (BWV 1006) |
E274860
|
entity |
| Predicate | scaleDegree2 |
P46738
|
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: [E major (BWV 1006), scaleDegree2, F♯]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleDegree2 Context triple: [E major (BWV 1006), scaleDegree2, F♯]
-
A.
degreeNumber
Indicates the specific numeric value assigned to a degree, such as its level, rank, or sequence number.
-
B.
degreeOver
Indicates that one entity’s degree, level, or extent exceeds that of another entity.
-
C.
usesScaleDegrees
chosen
Indicates that something is expressed, analyzed, or organized in terms of musical scale degrees rather than absolute pitches.
-
D.
typicalScaleDegreePattern
Indicates the usual or most common sequence of scale degrees that characterizes a particular melodic, harmonic, or stylistic pattern.
-
E.
degreeForm
Indicates that one entity is the specific academic degree or qualification conferred in the context of another entity (such as a program, award, or credential).
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.