Triple

T20003130
Position Surface form Disambiguated ID Type / Status
Subject macOS High Sierra E494384 entity
Predicate includesApplication P14571 FINISHED
Object Photos 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: Photos | Statement: [macOS High Sierra, includesApplication, Photos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Photos
Context triple: [macOS High Sierra, includesApplication, Photos]
  • A. Photos chosen
    Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
  • B. Images
    Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
  • C. Images
    Images is a 1972 psychological horror film directed by Robert Altman, known for its surreal, fragmented portrayal of a woman’s mental breakdown.
  • D. IMG
    IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
  • E. Picture
    "Picture" is a country rock ballad by Kid Rock featuring Sheryl Crow, known for its duet format and themes of heartbreak and regret.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a2e34481908a495cc5d077c41f completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.