Triple
T29859403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Omniverse Audio2Gesture |
E758272
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | AI-powered animation 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 animation tool Context triple: [NVIDIA Omniverse Audio2Gesture, instanceOf, AI-powered animation 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.
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.
-
C.
computer animation studio
A computer animation studio is an organization that specializes in creating animated content using digital tools and techniques for film, television, games, and other media.
-
D.
animation pioneer
An animation pioneer is an individual who significantly advances the art, technology, or storytelling techniques of animated media, often establishing foundational methods or styles that influence future creators.
-
E.
generative AI service suite
A generative AI service suite is an integrated collection of tools and APIs that create, transform, and analyze content (such as text, images, code, or audio) using advanced machine learning models to support diverse applications and 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:48 p.m.