Triple

T1368057
Position Surface form Disambiguated ID Type / Status
Subject Adobe After Effects E30046 entity
Predicate integratesWith P1075 FINISHED
Object Adobe Audition E30415 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: Adobe Audition | Statement: [Adobe After Effects, integratesWith, Adobe Audition]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Audition
Context triple: [Adobe After Effects, integratesWith, Adobe Audition]
  • A. Adobe Audition chosen
    Adobe Audition is a professional digital audio workstation software used for recording, editing, mixing, and restoring audio for music, film, and broadcast production.
  • 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 After Effects
    Adobe After Effects is a professional digital visual effects, motion graphics, and compositing application widely used for film, video, and multimedia post-production.
  • D. 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.
  • E. DAW
    DAW was a United Nations division focused on promoting gender equality and advancing the status and rights of women worldwide.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce788098819087a046e10966b7e9 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.