Triple

T2108232
Position Surface form Disambiguated ID Type / Status
Subject MacBook E42442 entity
Predicate hasFeature P182 FINISHED
Object FaceTime HD camera E41896 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: FaceTime HD camera | Statement: [MacBook, hasFeature, FaceTime HD camera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FaceTime HD camera
Context triple: [MacBook, hasFeature, FaceTime HD camera]
  • A. FaceTime HD camera chosen
    The FaceTime HD camera is Apple's built-in high-definition webcam used in Mac devices for video calls, recording, and conferencing.
  • B. FaceTime
    FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
  • C. Face ID
    Face ID is Apple's facial recognition system that securely unlocks devices and authorizes actions like payments and app logins using a 3D scan of the user's face.
  • D. Retina display
    Retina display is Apple’s high-resolution screen technology designed to make pixels virtually indistinguishable to the human eye for sharper, more detailed visuals.
  • E. Vision Pro
    Vision Pro is Apple’s high-end mixed reality headset that blends augmented and virtual reality experiences using advanced displays, sensors, and custom Apple silicon.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbae03f308190841f5a419bb821f6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306ff3a481909ce3c34edb3ab0e2 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.