Triple
T29859441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Omniverse Audio2Emotion |
E758273
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI-powered audio analysis tool |
C56063
|
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: AI-powered audio analysis tool Context triple: [NVIDIA Omniverse Audio2Emotion, instanceOf, AI-powered audio analysis tool]
-
A.
AI-powered media enhancement software
chosen
AI-powered media enhancement software is a digital tool that uses artificial intelligence to automatically analyze, improve, and optimize audio, video, and images for higher quality and better user experience.
-
B.
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.
-
C.
tool in signal processing
A tool in signal processing is a conceptual or physical mechanism—such as an algorithm, filter, transform, or software module—used to analyze, modify, or extract information from signals.
-
D.
AI research tool
An AI research tool is a software system that leverages artificial intelligence techniques to assist in discovering, organizing, analyzing, and generating scientific knowledge and insights.
-
E.
self-supervised speech representation learning model
A self-supervised speech representation learning model is a neural network that learns meaningful audio and speech feature representations directly from large amounts of unlabeled speech data by solving pretext tasks such as masked prediction or contrastive learning.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:48 p.m.