Triple
T21060926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKCameraNode |
E518843
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | SKNode |
—
|
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: SKNode | Statement: [SKCameraNode, relatedTo, SKNode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKNode Context triple: [SKCameraNode, relatedTo, SKNode]
-
A.
SKNode
chosen
SKNode is the fundamental building-block class in Apple's SpriteKit framework, representing a node in a scene graph that can display content or act as a container for other nodes.
-
B.
SCNNode
SCNNode is a fundamental SceneKit class representing a node in a 3D scene graph, used to position, transform, and organize visual content and other nodes.
-
C.
SKCameraNode
SKCameraNode is a SpriteKit node class that represents a virtual camera used to control what portion of a 2D scene is visible on screen.
-
D.
SKSpriteNode
SKSpriteNode is a fundamental SpriteKit class representing a textured, rectangular node used to display and animate 2D images in iOS and macOS games.
-
E.
SceneGraph
SceneGraph is the hierarchical structure in JavaFX that organizes and manages all visual nodes in a user interface scene.
- 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.