Triple
T10266638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Mode |
E240726
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Activation Lock |
E46911
|
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: Activation Lock | Statement: [Lost Mode, relatedTo, Activation Lock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Activation Lock Context triple: [Lost Mode, relatedTo, Activation Lock]
-
A.
Activation Lock
chosen
Activation Lock is an Apple security feature that prevents unauthorized use of a lost or stolen iOS device by requiring the owner’s Apple ID credentials to reactivate it.
-
B.
Apple Gatekeeper
Apple Gatekeeper is a macOS security feature that verifies and controls the execution of apps to protect users from running untrusted or malicious software.
-
C.
Find My iPhone
Find My iPhone is an Apple service that lets users locate, lock, or erase their lost or stolen iOS devices remotely.
-
D.
Touch ID
Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
-
E.
Apple FairPlay
Apple FairPlay is a digital rights management (DRM) technology developed by Apple to protect and control the use of copyrighted media content distributed through its platforms.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d26d4dd88190bdd324bafa1e8e00 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f805d49c8190becddbbf17ac65fd |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:34 a.m.