Triple
T5432854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SpriteKit |
E121536
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | SKSpriteNode |
E121536
|
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: SKSpriteNode | Statement: [SpriteKit, includes, SKSpriteNode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKSpriteNode Context triple: [SpriteKit, includes, SKSpriteNode]
-
A.
SpriteKit
chosen
SpriteKit is Apple’s 2D game development framework designed for building high-performance, animated games and interactive content across its platforms.
-
B.
SceneKit
SceneKit is a high-level 3D graphics framework from Apple used to build and render interactive 3D scenes and animations across its platforms.
-
C.
Sprite
Sprite is a popular lemon-lime flavored soft drink known for its crisp, caffeine-free taste and global presence.
-
D.
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.
-
E.
WKInterfaceImage
WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8840ade481909dae2eecc77d73b8 |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac985e48190ba9610e0563c73ab |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.