Triple
T28378432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valse Hot |
E718816
|
entity |
| Predicate | musicalMeter |
P135050
|
FINISHED |
| Object | 3/4 time |
—
|
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: 3/4 time | Statement: [Valse Hot, musicalMeter, 3/4 time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalMeter Context triple: [Valse Hot, musicalMeter, 3/4 time]
-
A.
musicMeter
chosen
Indicates the rhythmic structure or time signature governing how beats are organized within a piece of music.
-
B.
musicalTempo
Indicates the speed or pace at which a piece of music is performed or intended to be performed.
-
C.
choralMeter
Indicates a relationship where a musical work or passage is characterized by a specific metrical pattern typical of choral music.
-
D.
dominantMetreOf
Indicates that one metre (rhythmic pattern) is the primary or prevailing metrical structure used in another work, passage, or musical/poetic context.
-
E.
typicalMeterInItalian
Indicates that a given meter is the one most commonly or traditionally used in Italian for the specified context.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 28, 2026, 1:04 a.m.