Triple

T17568523
Position Surface form Disambiguated ID Type / Status
Subject OS X Yosemite E427877 entity
Predicate includedPhotoManagementApp P128004 FINISHED
Object iPhoto NE NERFINISHED

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: iPhoto | Statement: [OS X Yosemite, includedPhotoManagementApp, iPhoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iPhoto
Context triple: [OS X Yosemite, includedPhotoManagementApp, iPhoto]
  • A. iPhoto chosen
    iPhoto was Apple's former consumer photo management and basic editing application for macOS and iOS, later succeeded by the Photos app.
  • B. iLife
    iLife was a suite of multimedia and creativity applications developed by Apple for macOS, including tools for photo management, video editing, music creation, and website building.
  • C. Apple Photos
    Apple Photos is Apple’s built-in photo management and editing application for macOS, iOS, and iPadOS that organizes, syncs, and enhances images and videos across devices via iCloud.
  • D. Adobe Lightroom
    Adobe Lightroom is a professional photo editing and management software application widely used by photographers for organizing, enhancing, and sharing digital images.
  • E. iMovie
    iMovie is Apple's consumer-friendly video editing software for macOS and iOS that lets users easily create, edit, and share movies and trailers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.