Triple
T367055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Pay |
E7983
|
entity |
| Predicate | authenticationMethod |
P1687
|
FINISHED |
| Object |
Face ID
Face ID is Apple's facial recognition system that securely unlocks devices and authorizes actions like payments and app logins using a 3D scan of the user's face.
|
E47811
|
NE FINISHED |
How this triple was built (4 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: Face ID | Statement: [Apple Pay, authenticationMethod, Face ID]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Face ID Context triple: [Apple Pay, authenticationMethod, Face ID]
-
A.
Touch ID
Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
-
B.
FaceTime HD camera
The FaceTime HD camera is Apple's built-in high-definition webcam used in Mac devices for video calls, recording, and conferencing.
-
C.
FaceTime
FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
-
D.
Vision Pro
Vision Pro is Apple’s high-end mixed reality headset that blends augmented and virtual reality experiences using advanced displays, sensors, and custom Apple silicon.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Face ID Triple: [Apple Pay, authenticationMethod, Face ID]
Generated description
Face ID is Apple's facial recognition system that securely unlocks devices and authorizes actions like payments and app logins using a 3D scan of the user's face.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Face ID Target entity description: Face ID is Apple's facial recognition system that securely unlocks devices and authorizes actions like payments and app logins using a 3D scan of the user's face.
-
A.
Touch ID
Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
-
B.
FaceTime HD camera
The FaceTime HD camera is Apple's built-in high-definition webcam used in Mac devices for video calls, recording, and conferencing.
-
C.
FaceTime
FaceTime is Apple’s proprietary video and audio calling service that enables real-time communication across its devices and platforms.
-
D.
Vision Pro
Vision Pro is Apple’s high-end mixed reality headset that blends augmented and virtual reality experiences using advanced displays, sensors, and custom Apple silicon.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe92c7c8190b49af2b2b461eacc |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f4d8e8688190a35d50b99b85bb7f |
completed | March 1, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69a3f73a9f588190a45d55f29cdbe65d |
completed | March 1, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f7ece1a081908c899a2b4ff12e89 |
completed | March 1, 2026, 8:25 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.