Triple
T38209973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Com noise reduction |
E1010511
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | analog audio noise-reduction system |
C11683
|
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: analog audio noise-reduction system Context triple: [High Com noise reduction, instanceOf, analog audio noise-reduction system]
-
A.
analog noise reduction system
chosen
An analog noise reduction system is a hardware-based signal processing arrangement that minimizes unwanted noise in analog audio or electronic signals while preserving the integrity of the desired signal.
-
B.
3D audio processing hardware
Specialized electronic devices that capture, process, and output spatially accurate sound fields in real time to create immersive three-dimensional audio experiences.
-
C.
modular synthesizer system
A modular synthesizer system is a customizable collection of interconnected sound-generating and processing modules that can be patched together in various configurations to create complex, evolving audio.
-
D.
audio technology
Audio technology encompasses the tools, devices, and processes used to capture, manipulate, transmit, and reproduce sound for communication, entertainment, and analysis.
-
E.
Fairlight CMI model
A Fairlight CMI model is a conceptual representation of the pioneering digital sampling synthesizer system, encapsulating its hardware components, sound sampling and synthesis capabilities, user interface, and role in music production workflows.
- F. None of above.
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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.