Triple

T2051199
Position Surface form Disambiguated ID Type / Status
Subject Mac OS X 10.0 Cheetah E45571 entity
Predicate introducedFeature P513 FINISHED
Object TextEdit application E41446 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: TextEdit application | Statement: [Mac OS X 10.0 Cheetah, introducedFeature, TextEdit application]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TextEdit application
Context triple: [Mac OS X 10.0 Cheetah, introducedFeature, TextEdit application]
  • A. TextEdit chosen
    TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
  • B. WordPad
    WordPad is a basic word processing application for Microsoft Windows that offers more features than Notepad but fewer than full office suites like Microsoft Word.
  • C. Notepad
    Notepad is a simple text-editing program for Windows that allows users to create and edit plain text files without formatting.
  • D. MacWrite
    MacWrite was one of the first WYSIWYG word processors for the original Macintosh, showcasing the platform’s graphical user interface and desktop publishing capabilities.
  • E. Bravo text editor
    Bravo text editor was an early WYSIWYG word processing program developed at Xerox PARC that pioneered many modern graphical text-editing concepts.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98f5f4881908d9aa0f10be44041 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2009951881909d562821fef39c88 completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.