Triple

T19433657
Position Surface form Disambiguated ID Type / Status
Subject iOS 15 E486179 entity
Predicate feature P374 FINISHED
Object FaceTime spatial audio 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: FaceTime spatial audio | Statement: [iOS 15, feature, FaceTime spatial audio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FaceTime spatial audio
Context triple: [iOS 15, feature, FaceTime spatial audio]
  • 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. Dynamic Island
    Dynamic Island is an interactive pill-shaped area around the iPhone’s front camera cutout that fluidly displays alerts, live activities, and ongoing background tasks.
  • D. 360 Reality Audio
    360 Reality Audio is an immersive 3D audio format developed by Sony that places individual sounds in a spherical sound field to create a more lifelike listening experience.
  • E. MPEG-H 3D Audio
    MPEG-H 3D Audio is an advanced audio coding standard that enables immersive, object-based 3D sound for applications like streaming, broadcasting, and virtual reality.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335dae10819096e1825741f814ed completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.