Triple

T9550293
Position Surface form Disambiguated ID Type / Status
Subject macOS Ventura E230403 entity
Predicate includedFeature P1393 FINISHED
Object Continuity Camera E263157 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: Continuity Camera | Statement: [macOS Ventura, includedFeature, Continuity Camera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Continuity Camera
Context triple: [macOS Ventura, includedFeature, Continuity Camera]
  • A. Continuity Camera chosen
    Continuity Camera is an Apple feature that lets you use your iPhone as a high-quality camera and scanner for your Mac and other Apple devices.
  • B. The Camera
    The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
  • C. Cyber-shot
    Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
  • D. Suprime-Cam
    Suprime-Cam is a wide-field optical imaging camera used on the Subaru Telescope to capture deep, high-resolution images of the night sky.
  • E. Lytro
    Lytro was a pioneering technology company known for developing consumer light-field cameras that allowed users to refocus images after they were taken.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9906bc90819086f105c453e63c83 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c82c98c8190a4fd6fc3ceb4173d completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.