Triple
T23277555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil PC2 |
E588762
|
entity |
| Predicate | supportsAftertouch |
P151640
|
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, supportsAftertouch, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAftertouch Context triple: [Kurzweil PC2, supportsAftertouch, true]
-
A.
supportsMultiTimbralOperation
Indicates that an entity can operate in a multi-timbral mode, handling multiple distinct timbres or instrument parts simultaneously.
-
B.
supportsPCM
Indicates that one entity is capable of handling, processing, or is compatible with PCM (Pulse-Code Modulation) audio data used by another entity.
-
C.
supportedInstrument
Indicates that an entity provides compatibility with, or operational support for, a specified instrument.
-
D.
controlSurfaces
Indicates that one entity functions as a control surface or set of control surfaces used to influence, steer, or regulate the behavior or state of another entity.
-
E.
supportsTone
Indicates that one entity is compatible with, enables, or can correctly handle a specified tone or tonal characteristic of another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:49 p.m.