Triple
T9497699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quartz (Apple graphics) |
E229050
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | QuartzGL |
E744867
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: QuartzGL | Statement: [Quartz (Apple graphics), component, QuartzGL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QuartzGL Context triple: [Quartz (Apple graphics), component, QuartzGL]
-
A.
Quartz Compositor
Quartz Compositor is macOS’s system-wide window server and compositing engine that combines graphical content from applications into the final on-screen display using the Quartz graphics technologies.
-
B.
TinyGL
TinyGL is a lightweight, OpenGL-like 3D graphics library designed for use on resource-constrained or specialized systems such as MorphOS.
-
C.
Glew
Glew is a town in the southern Greater Buenos Aires area of Argentina that serves as a stop on the Roca Line suburban railway network.
-
D.
Quartz Extreme
chosen
Quartz Extreme is a graphics acceleration technology in macOS that offloads window compositing and interface rendering to the computer’s GPU for smoother visual performance.
-
E.
Quartz 2D
Quartz 2D is Apple’s modern 2D graphics rendering and drawing engine used in macOS and iOS for high-quality, resolution-independent graphics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd95ef06b88190b7a840caddea3e38 |
completed | April 1, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d3aafb88190ac53289039bca88a |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:56 p.m.