Triple

T1942874
Position Surface form Disambiguated ID Type / Status
Subject Surface Book E41593 entity
Predicate feature P374 FINISHED
Object Windows Hello facial recognition E37361 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: Windows Hello facial recognition | Statement: [Surface Book, feature, Windows Hello facial recognition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows Hello facial recognition
Context triple: [Surface Book, feature, Windows Hello facial recognition]
  • A. Windows Hello chosen
    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.
  • B. 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.
  • C. Touch ID
    Touch ID is Apple's fingerprint recognition technology used on devices like the MacBook Pro for secure authentication and payments.
  • D. Surface Hub
    Surface Hub is Microsoft's large interactive whiteboard and collaboration device designed for meetings, presentations, and team productivity in business and educational environments.
  • E. FACE Act
    The FACE Act is a U.S. federal law that protects access to reproductive health clinics and places of worship by prohibiting threats, obstruction, and violence against patients, providers, and facilities.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb7616881908bfc82997538ca08 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.