Triple

T9900055
Position Surface form Disambiguated ID Type / Status
Subject MVVM E182259 entity
Predicate usedWith P4791 FINISHED
Object Silverlight E700425 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: Silverlight | Statement: [MVVM, usedWith, Silverlight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silverlight
Context triple: [MVVM, usedWith, Silverlight]
  • A. Silverlight chosen
    Silverlight is a now-discontinued Microsoft framework for building and running rich internet applications with multimedia, graphics, and interactivity in web browsers.
  • B. Windows Presentation Foundation
    Windows Presentation Foundation is a Microsoft UI framework for building rich, desktop client applications on Windows using XAML and .NET.
  • C. WPF
    WPF is the commonly used abbreviation for the WordPress Foundation, the nonprofit organization that supports and promotes the open-source WordPress project.
  • D. Xamarin
    Xamarin is a cross-platform mobile app development framework that allows developers to build native iOS, Android, and Windows applications using C# and .NET.
  • E. Windows Communication Foundation
    Windows Communication Foundation is a Microsoft framework for building and running service-oriented, distributed applications that communicate over various network protocols.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e0705c8190bd17e36aff615cdd completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1b9534819093c5150f1ed8f685 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.