Triple

T9502627
Position Surface form Disambiguated ID Type / Status
Subject macOS Monterey E229180 entity
Predicate includedApplication P1393 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: [macOS Monterey, includedApplication, FaceTime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FaceTime
Context triple: [macOS Monterey, includedApplication, 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. Video Phone
    "Video Phone" is a song by Beyoncé from her album "I Am... Sasha Fierce," known for its futuristic, multimedia-themed visuals and later remix featuring Lady Gaga.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983ea6048190a2d7924c8e6d1fbc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a10f7b08190b8e4d4bc3b9815c6 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.