Triple
T2447998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple WWDC 2022 |
E53637
|
entity |
| Predicate | introducedFeature |
P513
|
FINISHED |
| Object | Passkeys |
E193845
|
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: Passkeys | Statement: [Apple WWDC 2022, introducedFeature, Passkeys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passkeys Context triple: [Apple WWDC 2022, introducedFeature, Passkeys]
-
A.
FIDO2
chosen
FIDO2 is an open authentication standard that enables secure, passwordless logins using public-key cryptography across web and native applications.
-
B.
iCloud Keychain
iCloud Keychain is Apple’s built-in password and secure information manager that syncs and autofills credentials, Wi‑Fi logins, and payment details across a user’s Apple devices.
-
C.
Lockit
Lockit is the corrupt jailer and one of the main antagonists in John Gay's satirical ballad opera "The Beggar's Opera."
-
D.
PBK
PBK is the common abbreviation for the Phi Beta Kappa Society, the oldest and one of the most prestigious academic honor societies in the United States recognizing excellence in the liberal arts and sciences.
-
E.
Mopria
Mopria is a universal mobile printing standard that enables seamless, driverless printing from devices like smartphones, tablets, and Chromebooks to compatible printers.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0dc7ed88190920afd4817c621c9 |
completed | March 7, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c0069c8190bfb9e71aea4774d3 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.