Triple
T23717991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurzweil K2600 |
E586063
|
entity |
| Predicate | usesSynthesisEngine |
P82797
|
FINISHED |
| Object | V.A.S.T. synthesis |
—
|
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: V.A.S.T. synthesis | Statement: [Kurzweil K2600, usesSynthesisEngine, V.A.S.T. synthesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSynthesisEngine Context triple: [Kurzweil K2600, usesSynthesisEngine, V.A.S.T. synthesis]
-
A.
soundSynthesisType
chosen
Indicates the method or technique used to generate or construct a sound signal.
-
B.
usesSampleOfSpeechBy
Indicates that one entity employs or incorporates a sample of speech produced by another entity.
-
C.
givesSpeechTo
Indicates that one entity delivers a speech or formal address directed toward another entity or audience.
-
D.
usesVoiceAssistant
Indicates that an entity regularly operates or interacts with a voice-controlled digital assistant.
-
E.
voiceWork
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b77d121c8190892d3f8ef3f3156f |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:58 p.m.