Triple
T21060925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKCameraNode |
E518843
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | SKView |
—
|
NE NERFINISHED |
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: SKView | Statement: [SKCameraNode, relatedTo, SKView]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKView Context triple: [SKCameraNode, relatedTo, SKView]
-
A.
SKView
chosen
SKView is the SpriteKit-specific view class in Apple’s frameworks that renders and manages SpriteKit scenes within an app’s user interface.
-
B.
SCNView
SCNView is a Cocoa view class in Apple’s SceneKit framework that renders and displays 3D scene content with built-in support for camera control, lighting, and animations.
-
C.
NSView
NSView is the fundamental visual building block for user interfaces in macOS applications, representing a rectangular region responsible for drawing and event handling.
-
D.
SceneKit
SceneKit is a high-level 3D graphics framework from Apple used to build and render interactive 3D scenes and animations across its platforms.
-
E.
MTKView
MTKView is a specialized view class in Apple’s MetalKit framework that simplifies displaying and managing Metal-rendered graphics content in macOS and iOS apps.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feaf3edc81909423e039cac6bd87 |
completed | April 21, 2026, 4:35 a.m. |
Created at: April 16, 2026, 2:38 p.m.