Triple
T1096846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Safari |
E24288
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Screen Time |
E46915
|
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: Screen Time | Statement: [Apple Safari, integratesWith, Screen Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Screen Time Context triple: [Apple Safari, integratesWith, Screen Time]
-
A.
Screen Time
chosen
Screen Time is an iOS tool that tracks and limits device and app usage to help users manage their digital habits and set parental controls.
-
B.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
C.
Apple Fitness+
Apple Fitness+ is a subscription-based fitness streaming service by Apple that offers guided workouts and wellness sessions integrated with Apple Watch and other Apple devices.
-
D.
FaceTime
FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
-
E.
Stillwatch
Stillwatch is a suspense novel by Mary Higgins Clark that follows a young television journalist uncovering dark political secrets in Washington, D.C.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c3bb31881908768a909ce56a95d |
completed | March 7, 2026, 4:03 p.m. |
Created at: March 1, 2026, 7:42 p.m.