Triple
T10266612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Mode |
E240726
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Find My |
E241679
|
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: Find My | Statement: [Lost Mode, partOf, Find My]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Find My Context triple: [Lost Mode, partOf, Find My]
-
A.
Find My
chosen
Find My is Apple's device and item tracking service that lets users locate lost or stolen Apple products and compatible accessories across their devices.
-
B.
Find My Mobile or SmartThings Find
Find My Mobile or SmartThings Find is Samsung’s device-locating service that lets users remotely find, lock, or erase their Galaxy devices and accessories.
-
C.
Find Me
"Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
-
D.
Find My iPhone
Find My iPhone is an Apple service that lets users locate, lock, or erase their lost or stolen iOS devices remotely.
-
E.
Findon
Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
- 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.