Triple

T2448108
Position Surface form Disambiguated ID Type / Status
Subject ProRes E53639 entity
Predicate compatibleWith P203 FINISHED
Object Final Cut Pro E52683 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: Final Cut Pro | Statement: [ProRes, compatibleWith, Final Cut Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Final Cut Pro
Context triple: [ProRes, compatibleWith, Final Cut Pro]
  • A. Final Cut Pro chosen
    Final Cut Pro is Apple's professional non-linear video editing software widely used for film, television, and content creation on macOS.
  • B. Logic Pro
    Logic Pro is a professional digital audio workstation (DAW) developed by Apple for macOS, widely used for music production, recording, and audio editing.
  • C. FCP
    FCP (Fibre Channel Protocol) is a transport protocol that maps SCSI commands over Fibre Channel networks, commonly used for high-speed storage area networking in enterprise systems.
  • D. Adobe Premiere Pro
    Adobe Premiere Pro is a professional non-linear video editing software widely used in film, television, and online content production.
  • E. 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.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0dc7ed88190920afd4817c621c9 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17907f48819092f197ba14459b17 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:43 p.m.