Triple
T321710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS |
E6427
|
entity |
| Predicate | integratesWithService |
P1294
|
FINISHED |
| Object | iCloud Keychain |
E20628
|
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: iCloud Keychain | Statement: [macOS, integratesWithService, iCloud Keychain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iCloud Keychain Context triple: [macOS, integratesWithService, iCloud Keychain]
-
A.
iCloud
chosen
iCloud is Apple’s cloud storage and synchronization service that securely backs up and keeps users’ photos, files, and data up to date across their Apple devices.
-
B.
Apple Pay
Apple Pay is a mobile payment and digital wallet service by Apple that lets users make secure, contactless payments using their Apple devices.
-
C.
Duo Security
Duo Security is a cybersecurity company best known for its cloud-based multi-factor authentication and zero-trust access solutions.
-
D.
AirPods
AirPods are Apple’s wireless Bluetooth earbuds known for their seamless integration with Apple devices, compact charging case, and touch or voice-controlled features.
-
E.
Apple iWork
Apple iWork is Apple's suite of productivity applications, including Pages, Numbers, and Keynote, designed for document creation, spreadsheets, and presentations across macOS, iOS, and iCloud.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee016c408190beab4009653524db |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cb006f348190b2e8901eb2ced9f3 |
completed | March 1, 2026, 5:13 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.