Triple
T29859166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USD Shade |
E758267
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | shading and material definition framework |
C25132
|
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: shading and material definition framework Context triple: [USD Shade, instanceOf, shading and material definition framework]
-
A.
3D scene description framework
chosen
A 3D scene description framework is a structured system for representing, organizing, and exchanging information about objects, materials, lighting, and spatial relationships within a three-dimensional environment.
-
B.
texture synthesis method
A texture synthesis method is a computational technique that generates new, visually similar textures from example samples by modeling and reproducing their statistical or structural properties.
-
C.
material variant
A material variant is a specific version of a material distinguished by attributes such as composition, color, finish, or dimensions while remaining part of the same base material family.
-
D.
hidden surface determination algorithm
A hidden surface determination algorithm is a computer graphics method used to identify and remove surfaces or parts of surfaces of 3D objects that are not visible from a particular viewpoint, ensuring correct rendering of a scene.
-
E.
material property
A material property is a measurable characteristic of a substance—such as strength, conductivity, or density—that determines how it responds to physical, chemical, or environmental conditions.
- 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.