Triple

T5432860
Position Surface form Disambiguated ID Type / Status
Subject SpriteKit E121536 entity
Predicate includes P1393 FINISHED
Object SKTexture
SKTexture is a SpriteKit class that represents image data used to render textured sprites and other visual elements in 2D games and animations.
E518841 NE FINISHED

How this triple was built (4 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: SKTexture | Statement: [SpriteKit, includes, SKTexture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKTexture
Context triple: [SpriteKit, includes, SKTexture]
  • A. Core Image
    Core Image is an Apple framework for high-performance image processing and analysis, offering GPU-accelerated filters and effects for macOS, iOS, and related platforms.
  • B. TImage
    TImage is a VCL component in Delphi used to display and manipulate images within graphical user interfaces.
  • C. WKInterfaceImage
    WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
  • 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. WireImage
    WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SKTexture
Triple: [SpriteKit, includes, SKTexture]
Generated description
SKTexture is a SpriteKit class that represents image data used to render textured sprites and other visual elements in 2D games and animations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SKTexture
Target entity description: SKTexture is a SpriteKit class that represents image data used to render textured sprites and other visual elements in 2D games and animations.
  • A. Core Image
    Core Image is an Apple framework for high-performance image processing and analysis, offering GPU-accelerated filters and effects for macOS, iOS, and related platforms.
  • B. TImage
    TImage is a VCL component in Delphi used to display and manipulate images within graphical user interfaces.
  • C. WKInterfaceImage
    WKInterfaceImage is a WatchKit user interface class used to display and manage images on Apple Watch app interfaces.
  • 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. WireImage
    WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69bf3b663b148190807d35421c911d74 completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3c2b9d04819081a946e9f68c4eb2 completed March 22, 2026, 12:47 a.m.
Created at: March 20, 2026, 2:06 p.m.