Triple
T10267179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Settings app on iOS |
E240737
|
entity |
| Predicate | controlsFeature |
P30853
|
FINISHED |
| Object | Face ID |
E47811
|
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: Face ID | Statement: [Settings app on iOS, controlsFeature, Face ID]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Face ID Context triple: [Settings app on iOS, controlsFeature, Face ID]
-
A.
Face ID
chosen
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.
-
B.
Touch ID
Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
-
C.
Animoji and Memoji
Animoji and Memoji are Apple’s animated, customizable characters that mirror a user’s facial expressions and are used in messaging and video calls on compatible Apple devices.
-
D.
Barcode Face
Barcode Face is a contemporary art piece by Canadian painter Wanda Koop that explores themes of identity and surveillance through stylized, barcode-like facial imagery.
-
E.
Azure Face API
Azure Face API is a cloud-based facial recognition and analysis service from Microsoft that detects, identifies, and analyzes human faces in images.
- 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_69d4dfbfa26c8190b536655d33112ddf |
completed | April 7, 2026, 10:43 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.