Triple
T29854329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tempest Engine |
E758145
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | 3D audio processing hardware |
C56995
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: 3D audio processing hardware Context triple: [Tempest Engine, instanceOf, 3D audio processing hardware]
-
A.
audio technology
Audio technology encompasses the tools, devices, and processes used to capture, manipulate, transmit, and reproduce sound for communication, entertainment, and analysis.
-
B.
audio middleware
Audio middleware is a software layer that sits between a game or application and the audio hardware/engine, providing tools and runtime systems to manage, process, and integrate sound and music without requiring low-level audio programming.
-
C.
audio engineering and mixing contribution
The audio engineering and mixing contribution class represents the technical and creative work involved in capturing, processing, balancing, and enhancing sound elements to produce a polished and cohesive audio experience.
-
D.
audio signal processing software
Audio signal processing software is a class of applications that analyze, modify, and generate audio signals through digital algorithms for tasks such as filtering, enhancement, synthesis, and effects processing.
-
E.
audio performance
An audio performance is a live or recorded presentation in which sound—such as music, speech, or ambient noise—is intentionally produced, arranged, and delivered to an audience as an artistic or communicative experience.
- F. None of above. chosen
Provenance (1 batch)
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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:45 p.m.