Triple
T5768455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continuity |
E127268
|
entity |
| Predicate | includesFeature |
P182
|
FINISHED |
| Object | FaceTime Handoff |
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 Handoff | Statement: [Continuity, includesFeature, FaceTime Handoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FaceTime Handoff Context triple: [Continuity, includesFeature, FaceTime Handoff]
-
A.
FaceTime
chosen
FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
-
B.
AirDrop
AirDrop is Apple's wireless file-sharing feature that lets users quickly and securely transfer photos, documents, and other data between nearby Apple devices.
-
C.
iMessage
iMessage is Apple’s encrypted instant messaging service that enables text, media, and rich communication features between users of Apple devices.
-
D.
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.
-
E.
visionOS
visionOS is Apple’s mixed-reality operating system designed for spatial computing on Apple Vision Pro, integrating 3D interfaces, gesture and eye tracking, and immersive app experiences.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02974ae2c8190aee5ee61fc69ad79 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e61127c8190833e279403af6605 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.