Triple
T4424668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safari |
E95180
|
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: [Safari, integratesWith, Screen Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Screen Time Context triple: [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.
Sky Player
Sky Player was the earlier online television streaming service from Sky in the UK, later rebranded as Sky Go.
-
C.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
D.
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.
-
E.
Google Digital Wellbeing
Google Digital Wellbeing is a suite of Android tools and settings designed to help users understand and manage their device usage, reduce distractions, and support healthier digital habits.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.