Triple
T37518575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | painter's algorithm |
E932700
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hidden surface removal algorithm |
C30224
|
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: hidden surface removal algorithm Context triple: [painter's algorithm, instanceOf, hidden surface removal algorithm]
-
A.
hidden surface determination algorithm
chosen
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.
-
B.
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.
-
C.
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.
-
D.
computer graphics technology
Computer graphics technology encompasses the hardware, software, and algorithms used to create, manipulate, render, and display visual content on digital devices.
-
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.
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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.