Triple

T11279142
Position Surface form Disambiguated ID Type / Status
Subject iPad Pro (12.9-inch, 4th generation) E267014 entity
Predicate biometricAuthentication P31941 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: [iPad Pro (12.9-inch, 4th generation), biometricAuthentication, Face ID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Face ID
Context triple: [iPad Pro (12.9-inch, 4th generation), biometricAuthentication, 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f455f0bc8190994c57264f775f60 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.