Triple
T18205242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HuBERT |
E435884
|
entity |
| Predicate | learningSignalSource |
P110259
|
FINISHED |
| Object | discrete units obtained by clustering MFCC or filterbank features |
—
|
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: discrete units obtained by clustering MFCC or filterbank features | Statement: [HuBERT, learningSignalSource, discrete units obtained by clustering MFCC or filterbank features]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learningSignalSource Context triple: [HuBERT, learningSignalSource, discrete units obtained by clustering MFCC or filterbank features]
-
A.
teachableSource
Indicates that one entity serves as a source from which another can be taught or can learn.
-
B.
samplingSource
chosen
Indicates that one entity serves as the origin or provider from which another entity is sampled or drawn.
-
C.
earningSource
Indicates that one entity is the origin or provider of another entity’s earnings or income.
-
D.
signalTool
Indicates that one entity uses or activates a tool or mechanism to send a signal or convey information to another entity or system.
-
E.
signalGenerationMethod
Indicates the method or technique used to produce or generate a signal in a given context.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.