Triple

T22659177
Position Surface form Disambiguated ID Type / Status
Subject AVM1 E559315 entity
Predicate supportsLanguageVersion P55177 FINISHED
Object ActionScript 1.0 NE NERFINISHED

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: ActionScript 1.0 | Statement: [AVM1, supportsLanguageVersion, ActionScript 1.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ActionScript 1.0
Context triple: [AVM1, supportsLanguageVersion, ActionScript 1.0]
  • A. ActionScript chosen
    ActionScript is an object-oriented programming language primarily used for developing rich internet applications and Adobe Flash content.
  • B. ActionScript Virtual Machine
    The ActionScript Virtual Machine is the runtime engine in Adobe Flash Player and related platforms that interprets and executes compiled ActionScript bytecode.
  • C. 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.
  • 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. Flash Lite
    Flash Lite is a lightweight version of Adobe Flash Player designed for mobile phones and other embedded devices to enable rich multimedia and interactive content.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765dc9088190b022ac564a8b5c26 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.