Triple

T1429821
Position Surface form Disambiguated ID Type / Status
Subject Macromedia E30416 entity
Predicate notableTechnology P22 FINISHED
Object SWF file format 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: SWF file format | Statement: [Macromedia, notableTechnology, SWF file format]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SWF file format
Context triple: [Macromedia, notableTechnology, SWF file format]
  • A. 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.
  • B. Adobe AIR
    Adobe AIR is a cross-platform runtime system developed by Adobe that allows developers to build and deploy rich Internet applications and games as standalone desktop and mobile apps.
  • C. ActionScript
    ActionScript is an object-oriented programming language primarily used for developing rich internet applications and Adobe Flash content.
  • D. TIFF
    TIFF is the non-profit cultural organization that runs the Toronto International Film Festival and related year-round film programs and events.
  • E. PostScript
    PostScript is a page description and programming language widely used in desktop publishing and printing to precisely define the layout and appearance of text and graphics.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4db2d7481908d241593d0e17d83 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016930ec8190ab3900d6f40c4aa0 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.