Triple
T93339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Dolby |
E1875
|
entity |
| Predicate | hasPatentOn |
P3264
|
FINISHED |
| Object | audio noise reduction systems |
—
|
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: audio noise reduction systems | Statement: [Ray Dolby, hasPatentOn, audio noise reduction systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatentOn Context triple: [Ray Dolby, hasPatentOn, audio noise reduction systems]
-
A.
patent
Indicates that a legal protection has been granted to an entity for an invention, giving it exclusive rights to make, use, or sell that invention.
-
B.
patentHolder
chosen
Indicates that one entity legally owns the rights granted by a specific patent associated with another entity or invention.
-
C.
typeOfPatentsGranted
Indicates the specific categories or kinds of patents that have been officially granted to an entity.
-
D.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
E.
hasPerson
Indicates that an entity is associated with or includes a specific person.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2512ef600819084d3c627f0d534f4 |
completed | Feb. 28, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69a24eb9a5ac8190b1d1300e8c4e3606 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.