Triple
T9873333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RenderMan Interface Bytestream |
E240012
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | RenderMan technology |
C20583
|
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: RenderMan technology Context triple: [RenderMan Interface Bytestream, instanceOf, RenderMan technology]
-
A.
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.
-
B.
3D rendering engine
A 3D rendering engine is a software component that transforms 3D scene data—geometry, materials, lighting, and camera parameters—into 2D images or frames through processes like rasterization or ray tracing.
-
C.
3D rendering application
chosen
A 3D rendering application is software that generates photorealistic or stylized images and animations from 3D models by simulating lighting, materials, and camera perspectives.
-
D.
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.
-
E.
NVIDIA technology
NVIDIA technology encompasses a range of advanced hardware and software solutions—most notably GPUs, AI platforms, and high-performance computing systems—designed to accelerate graphics, data processing, and machine learning workloads across industries.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:37 p.m.