Triple

T21060924
Position Surface form Disambiguated ID Type / Status
Subject SKCameraNode E518843 entity
Predicate relatedTo P37 FINISHED
Object SKScene 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: SKScene | Statement: [SKCameraNode, relatedTo, SKScene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKScene
Context triple: [SKCameraNode, relatedTo, SKScene]
  • A. SCNScene
    SCNScene is a core SceneKit class that represents and manages a 3D scene graph, including its nodes, geometry, lights, and cameras.
  • 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. SpriteKit chosen
    SpriteKit is Apple’s 2D game development framework designed for building high-performance, animated games and interactive content across its platforms.
  • 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. SKView
    SKView is the SpriteKit-specific view class in Apple’s frameworks that renders and manages SpriteKit scenes within an app’s user interface.
  • 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.