Triple

T1892169
Position Surface form Disambiguated ID Type / Status
Subject FaceTime HD camera E41896 entity
Predicate supportsService P203 FINISHED
Object FaceTime E41429 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 | Statement: [FaceTime HD camera, supportsService, FaceTime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FaceTime
Context triple: [FaceTime HD camera, supportsService, FaceTime]
  • A. FaceTime chosen
    FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
  • B. FaceTime HD camera
    The FaceTime HD camera is Apple's built-in high-definition webcam used in Mac devices for video calls, recording, and conferencing.
  • C. iMessage
    iMessage is Apple’s encrypted instant messaging service that enables text, media, and rich communication features between users of Apple devices.
  • D. Google Duo
    Google Duo is a high-quality video and voice calling app developed by Google for simple, reliable one-to-one and group communication across mobile and web platforms.
  • E. Skype
    Skype is a widely used internet-based communication service that enables voice calls, video chats, and instant messaging across computers and mobile devices.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb145f96c8190a71bb9e442892e68 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf68a8d48190a3360557def67692 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.