Triple
T4275546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIKit |
E97039
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Core Animation |
E242401
|
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: Core Animation | Statement: [UIKit, relatedTo, Core Animation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Core Animation Context triple: [UIKit, relatedTo, Core Animation]
-
A.
Core Animation
chosen
Core Animation is Apple’s high-performance graphics rendering and animation framework used to create smooth, hardware-accelerated visual effects in macOS, iOS, and other Apple platforms.
-
B.
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.
-
C.
SceneKit
SceneKit is a high-level 3D graphics framework from Apple used to build and render interactive 3D scenes and animations across its platforms.
-
D.
macOS Cocoa
macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
-
E.
Core Image
Core Image is an Apple framework for high-performance image processing and analysis, offering GPU-accelerated filters and effects for macOS, iOS, and related platforms.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501c35688190a7d15d904f15f968 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b0b2ec819090ccf042917ae207 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.