Triple

T6789854
Position Surface form Disambiguated ID Type / Status
Subject All Apps Plan E155904 entity
Predicate includes P1393 FINISHED
Object Adobe Animate E30049 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 Animate | Statement: [All Apps Plan, includes, Adobe Animate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Animate
Context triple: [All Apps Plan, includes, Adobe Animate]
  • A. Flash
    Flash is the nickname of Dwyane Wade, the explosive Hall of Fame shooting guard best known for leading the Miami Heat to multiple NBA championships.
  • B. Flash
    Flash is the Golden Eagles' mascot character, typically depicted as a spirited and energetic golden eagle representing the team.
  • C. Flash (software) chosen
    Flash (software) is a now-discontinued multimedia platform used for creating and displaying interactive web content, animations, and browser-based games and applications.
  • D. 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.
  • E. Adobe Illustrator
    Adobe Illustrator is a professional vector graphics editing and design software widely used for creating logos, illustrations, and scalable artwork.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ab4ce88190b6311e4d5aac758c completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8998408190b741417ce6f21f55 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.