Triple
T36840166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-buffer algorithm |
E910383
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | anti-aliasing technique |
C9941
|
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: anti-aliasing technique Context triple: [A-buffer algorithm, instanceOf, anti-aliasing technique]
-
A.
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.
-
B.
additive color process
An additive color process is a method of creating color by combining different intensities of light, typically red, green, and blue, where the colors add together to produce a full spectrum including white.
-
C.
painting technique
A painting technique is a specific method or process artists use to apply paint and create particular visual effects, textures, or styles in their artwork.
-
D.
real-time rendering technology
chosen
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.
-
E.
interpolation artifact
An interpolation artifact is an unintended visual or numerical distortion introduced into data, images, or signals as a result of the interpolation process used to estimate intermediate values.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.