Triple
T21060969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SKAudioNode |
E518844
|
entity |
| Predicate | canBeControlledBy |
P72492
|
FINISHED |
| Object | SKAction |
—
|
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: SKAction | Statement: [SKAudioNode, canBeControlledBy, SKAction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKAction Context triple: [SKAudioNode, canBeControlledBy, SKAction]
-
A.
SKAction
chosen
SKAction is a SpriteKit class that represents time-based actions used to animate and manipulate nodes in 2D games and applications.
-
B.
SCNAction
SCNAction is a SceneKit class that defines time-based animations and behaviors—such as movement, rotation, fading, and sequencing—for 3D nodes in a scene.
-
C.
SKActionTimingMode
SKActionTimingMode is an enumeration in Apple’s SpriteKit framework that defines how the timing of actions is calculated, such as linear, eased in, eased out, or eased in and out.
-
D.
SCNAnimation
SCNAnimation is a SceneKit class that represents and controls time-based animations for 3D scene elements in Apple's graphics frameworks.
-
E.
SpriteKit
SpriteKit is Apple’s 2D game development framework designed for building high-performance, animated games and interactive content across its platforms.
- 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.