Triple
T31645291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varali |
E807568
|
entity |
| Predicate | ascendingNotes |
P172046
|
FINISHED |
| Object | S G1 R1 G1 M1 P D1 N3 S |
—
|
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: S G1 R1 G1 M1 P D1 N3 S | Statement: [Varali, ascendingNotes, S G1 R1 G1 M1 P D1 N3 S]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ascendingNotes Context triple: [Varali, ascendingNotes, S G1 R1 G1 M1 P D1 N3 S]
-
A.
ascendingScaleType
chosen
Indicates that the relationship specifies the type or pattern of an ascending (upward-moving) scale used in a musical or ordered sequence context.
-
B.
noteCountAscending
Indicates that the number of notes associated with entities is ordered from lower to higher values.
-
C.
dominantNote
Indicates that one note functions as the dominant (fifth scale degree) in relation to another note, typically resolving to it harmonically.
-
D.
topNote
Indicates that one entity serves as the primary or highest-level note associated with another entity.
-
E.
tonalityProgression
Indicates a change or development in musical key or tonal center over the course of a piece or passage.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 10:50 p.m.