Triple
T8577261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parallel WaveNet |
E203077
|
entity |
| Predicate | generationMode |
P69703
|
FINISHED |
| Object | parallel sampling |
—
|
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: parallel sampling | Statement: [Parallel WaveNet, generationMode, parallel sampling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generationMode Context triple: [Parallel WaveNet, generationMode, parallel sampling]
-
A.
generation
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
-
B.
generationMethod
chosen
Indicates the process, technique, or procedure by which something is created, produced, or derived.
-
C.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
-
D.
introductionGeneration
Indicates the creation or production of an introductory segment or opening content for something.
-
E.
generationCount
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea97787481909ebbaa45f59cbdaa |
completed | March 31, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.