Triple

T2108221
Position Surface form Disambiguated ID Type / Status
Subject MacBook E42442 entity
Predicate supportsSoftwareEcosystem P35880 FINISHED
Object Logic Pro E53047 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: Logic Pro | Statement: [MacBook, supportsSoftwareEcosystem, Logic Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logic Pro
Context triple: [MacBook, supportsSoftwareEcosystem, Logic Pro]
  • A. Logic Pro chosen
    Logic Pro is a professional digital audio workstation (DAW) developed by Apple for macOS, widely used for music production, recording, and audio editing.
  • 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. Adobe Audition
    Adobe Audition is a professional digital audio workstation software used for recording, editing, mixing, and restoring audio for music, film, and broadcast production.
  • D. DAW
    DAW was a United Nations division focused on promoting gender equality and advancing the status and rights of women worldwide.
  • E. Steinberg
    Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbdc3a12081908e95ae870207367f completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306ff3a481909ce3c34edb3ab0e2 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.