Triple
T1719701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Hello |
E37361
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | WebAuthn |
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: WebAuthn | Statement: [Windows Hello, relatedStandard, WebAuthn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WebAuthn Context triple: [Windows Hello, relatedStandard, WebAuthn]
-
A.
FIDO2
chosen
FIDO2 is an open authentication standard that enables secure, passwordless logins using public-key cryptography across web and native applications.
-
B.
Windows Hello
Windows Hello is a biometric and PIN-based authentication feature in Windows that lets users securely sign in using facial recognition, fingerprints, or a device-specific PIN.
-
C.
OpenID Connect
OpenID Connect is an identity layer built on top of OAuth 2.0 that enables secure user authentication and single sign-on across applications.
-
D.
Touch ID
Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
-
E.
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.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa633934a4819083f2929da03453a8 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d58cd08190bdda9f03ca458081 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.