Triple
T38599267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C major |
E934164
|
entity |
| Predicate | hasSubdominantKey |
P99488
|
FINISHED |
| Object | F 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: F major | Statement: [C major, hasSubdominantKey, F major]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubdominantKey Context triple: [C major, hasSubdominantKey, F major]
-
A.
subdominantKey
chosen
Indicates the musical key that functions as the subdominant (built on the fourth scale degree) in relation to a given tonic key.
-
B.
dominantNote
Indicates that one note functions as the dominant (fifth scale degree) in relation to another note, typically resolving to it harmonically.
-
C.
hasHarmonicMinorVariant
Indicates that one musical element (such as a scale, key, or melody) has a corresponding form that is derived from or expressed in the harmonic minor variant.
-
D.
dominantTone
Indicates the primary or most prominent emotional or stylistic tone that characterizes something in relation to other possible tones.
-
E.
hasKeySignature
Indicates that one musical work, passage, or notation is associated with a specific key signature defining its set of sharps or flats.
- 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_6a0091ad8b8c8190b0f00a3358e59bc1 |
completed | May 10, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_6a008f2813ec81909a54c2dfa5c75dc7 |
completed | May 10, 2026, 1:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.