Triple

T6047054
Position Surface form Disambiguated ID Type / Status
Subject Slide E134692 entity
Predicate technologyUsed P1485 FINISHED
Object Flash 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: Flash | Statement: [Slide, technologyUsed, Flash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flash
Context triple: [Slide, technologyUsed, Flash]
  • 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. Flash Video
    Flash Video is a digital video format used primarily for delivering streaming video content over the web via Adobe Flash Player.
  • E. Adobe Flex
    Adobe Flex is a software development framework for building rich internet applications that run on the Adobe Flash platform using the ActionScript programming language.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e70fd48190b4554e9a516a1c88 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a2b65c8190a1891e790cb9a5de completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.