Triple
T26242952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris visual processor |
E656363
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | display processing technology |
C51295
|
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: display processing technology Context triple: [Iris visual processor, instanceOf, display processing technology]
-
A.
display technology
Display technology encompasses the various electronic methods and devices used to visually present information, images, and video to users, such as LCD, OLED, and projection systems.
-
B.
aperture grille cathode-ray tube display technology
Aperture grille cathode-ray tube display technology uses vertical tensioned wires instead of a traditional shadow mask to allow more electron beam energy to reach the phosphors, producing brighter and sharper images with improved color accuracy.
-
C.
DisplayPort feature
A DisplayPort feature is a specific capability or enhancement of the DisplayPort interface standard that defines how audio, video, data, or control signals are transmitted, managed, or optimized between source and display devices.
-
D.
video display controller
A video display controller is a hardware component that generates and manages the video signal sent to a display device, handling tasks such as timing, resolution, and image rendering.
-
E.
graphics processing unit
A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly perform parallel mathematical and geometric calculations to render images, videos, and visual effects for display.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:04 p.m.