Triple
T23619121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil K2500 |
E583263
|
entity |
| Predicate | multitimbrality |
P68598
|
FINISHED |
| Object | 16 parts |
—
|
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: 16 parts | Statement: [Kurzweil K2500, multitimbrality, 16 parts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multitimbrality Context triple: [Kurzweil K2500, multitimbrality, 16 parts]
-
A.
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.
-
B.
polyphony
Indicates a relationship where multiple independent melodic or vocal lines occur simultaneously, creating a layered or harmonically interwoven texture.
-
C.
musicalTexture
Indicates the type of overall sonic fabric or layering in a piece of music, such as how melodic, harmonic, and rhythmic elements are combined or interwoven.
-
D.
supportsMultiTimbralOperation
chosen
Indicates that an entity can operate in a multi-timbral mode, handling multiple distinct timbres or instrument parts simultaneously.
-
E.
multiInstrumentalist
Indicates that a person is proficient in playing multiple musical instruments, rather than specializing in just one.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17780a88190b6f0d6d551133454 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:45 p.m.