Triple
T29859168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USD Shade |
E758267
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer graphics technology |
C56344
|
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: computer graphics technology Context triple: [USD Shade, instanceOf, computer graphics technology]
-
A.
computer graphics algorithm
A computer graphics algorithm is a step-by-step computational procedure designed to generate, manipulate, or render visual images and scenes on digital displays.
-
B.
computer graphics division
The computer graphics division is an organizational unit responsible for researching, developing, and producing visual content and technologies related to computer-generated imagery, animation, and interactive graphics.
-
C.
computer graphics expert
A computer graphics expert is a specialist who designs, optimizes, and implements visual content and rendering techniques using mathematical models, algorithms, and graphics hardware to produce realistic or stylized digital imagery.
-
D.
graphics acceleration technology
Graphics acceleration technology is specialized hardware and software that offloads and speeds up the processing of visual and graphical computations, enabling smoother rendering and higher performance for images, videos, and 3D applications.
-
E.
real-time rendering technology
Real-time rendering technology is a class of systems and algorithms that generate and display interactive, visually coherent images or scenes at high frame rates, typically for applications like games, simulations, and virtual reality.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 5:48 p.m.