Triple

T10214033
Position Surface form Disambiguated ID Type / Status
Subject Today at Apple educational programs E242397 entity
Predicate usesSoftware P10387 FINISHED
Object iMovie E849968 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: iMovie | Statement: [Today at Apple educational programs, usesSoftware, iMovie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: iMovie
Context triple: [Today at Apple educational programs, usesSoftware, iMovie]
  • A. iMovie chosen
    iMovie is Apple's consumer-friendly video editing software for macOS and iOS that lets users easily create, edit, and share movies and trailers.
  • B. Final Cut Pro
    Final Cut Pro is Apple's professional non-linear video editing software widely used for film, television, and content creation on macOS.
  • C. iDVD
    iDVD was Apple's discontinued DVD-authoring application for macOS that allowed users to create and burn custom video DVDs with interactive menus and themes.
  • D. Cutcut
    Cutcut is a barangay (village-level administrative division) located in Angeles City in the province of Pampanga, Philippines.
  • E. iPhoto
    iPhoto was Apple's former consumer photo management and basic editing application for macOS and iOS, later succeeded by the Photos app.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7f6730081908b941eaeb6c00993 completed April 8, 2026, 7:09 p.m.
Created at: April 6, 2026, 11:04 a.m.