Triple

T8485662
Position Surface form Disambiguated ID Type / Status
Subject Queen E200825 entity
Predicate notableWork P4 FINISHED
Object Flash E716472 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: [Queen, notableWork, Flash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flash
Context triple: [Queen, notableWork, 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 chosen
    "Flash" is a rock song by Queen, written by guitarist Brian May as the theme for the 1980 science fiction film *Flash Gordon*.
  • D. Flash (software)
    Flash (software) is a now-discontinued multimedia platform used for creating and displaying interactive web content, animations, and browser-based games and applications.
  • E. Adobe Director
    Adobe Director is a multimedia authoring tool used to create interactive applications, animations, and games, especially for web and CD-ROM distribution.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53b359c81908174addcd6e12785 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.