Triple
T23277565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil PC2 |
E588762
|
entity |
| Predicate | supportsMultitimbrality |
P68598
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kurzweil PC2, supportsMultitimbrality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultitimbrality Context triple: [Kurzweil PC2, supportsMultitimbrality, true]
-
A.
supportsMultiTimbralOperation
chosen
Indicates that an entity can operate in a multi-timbral mode, handling multiple distinct timbres or instrument parts simultaneously.
-
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.
hasMultipleMelodies
Indicates that an entity is associated with more than one distinct melody.
-
D.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
-
E.
timbrality
Indicates the relationship between sounds or musical elements in terms of their tone color or quality, distinguishing how they differ or interact based on timbre.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19578adf48190bdb129a55f86172c |
completed | April 29, 2026, 5:22 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:49 p.m.