Triple
T23326297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Moon of Kentucky |
E591301
|
entity |
| Predicate | hasMusicalTimeSignature |
P1367
|
FINISHED |
| Object | 3/4 |
—
|
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 | Statement: [Blue Moon of Kentucky, hasMusicalTimeSignature, 3/4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalTimeSignature Context triple: [Blue Moon of Kentucky, hasMusicalTimeSignature, 3/4]
-
A.
hasTimeSignature
chosen
Indicates that a musical work, passage, or segment is associated with a specific time signature defining its rhythmic meter.
-
B.
hasTimeSignatureComplexity
Indicates that one musical work, passage, or pattern is characterized by a specified level or type of complexity in its time signature.
-
C.
hasTimeSignatureChange
Indicates that the time signature changes at some point within the duration of the referenced musical segment or piece.
-
D.
hasTempoMarking
Indicates that a musical passage, piece, or event is associated with a specific tempo indication or marking.
-
E.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197e9de788190afd6883c7eac4854 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:12 p.m.