Triple
T2849606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolby A-type noise reduction |
E63060
|
entity |
| Predicate | processingType |
P13489
|
FINISHED |
| Object | multiband |
—
|
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: multiband | Statement: [Dolby A-type noise reduction, processingType, multiband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: processingType Context triple: [Dolby A-type noise reduction, processingType, multiband]
-
A.
processType
chosen
Indicates the specific kind or category of process that an entity or activity belongs to.
-
B.
processingUse
Indicates that one entity uses or applies another entity as part of a processing or transformation activity.
-
C.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
D.
brickProcessorType
Indicates the specific kind or category of processor associated with a given brick.
-
E.
conversionProcess
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf41ac24819087c5b72e3b84117c |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.