Triple

T11016465
Position Surface form Disambiguated ID Type / Status
Subject Application Kit E260377 entity
Predicate coreClass P18973 FINISHED
Object NSView E849987 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: NSView | Statement: [Application Kit, coreClass, NSView]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSView
Context triple: [Application Kit, coreClass, NSView]
  • A. NSView chosen
    NSView is the fundamental visual building block for user interfaces in macOS applications, representing a rectangular region responsible for drawing and event handling.
  • B. SKView
    SKView is the SpriteKit-specific view class in Apple’s frameworks that renders and manages SpriteKit scenes within an app’s user interface.
  • C. macOS Cocoa
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • D. SCNView
    SCNView is a Cocoa view class in Apple’s SceneKit framework that renders and displays 3D scene content with built-in support for camera control, lighting, and animations.
  • E. CALayer
    CALayer is a fundamental Core Animation class that represents a drawable, animatable backing store for visual content in iOS and macOS user 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a682908190b061d1995e2866b6 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374d371ec8190aba9e77346c6e876 completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.