Triple

T21061048
Position Surface form Disambiguated ID Type / Status
Subject SKActionTimingMode E518846 entity
Predicate isPropertyOf P29386 FINISHED
Object SKAction.timingMode 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.timingMode | Statement: [SKActionTimingMode, isPropertyOf, SKAction.timingMode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKAction.timingMode
Context triple: [SKActionTimingMode, isPropertyOf, SKAction.timingMode]
  • A. SKActionTimingMode chosen
    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.
  • B. SKAction
    SKAction is a SpriteKit class that represents time-based actions used to animate and manipulate nodes in 2D games and applications.
  • C. 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.
  • D. Generalized Timing Formula
    Generalized Timing Formula is a VESA-defined method for calculating display timing parameters for computer monitors and other video displays.
  • E. Timing
    "Timing" is a conceptual artwork by Hungarian artist Dóra Maurer that explores perception, movement, and the passage of time through systematic visual transformations.
  • 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.