Triple

T4192749
Position Surface form Disambiguated ID Type / Status
Subject Bravo text editor E89072 entity
Predicate influenced P9 FINISHED
Object Microsoft Word E56704 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: Microsoft Word | Statement: [Bravo text editor, influenced, Microsoft Word]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microsoft Word
Context triple: [Bravo text editor, influenced, Microsoft Word]
  • A. Word chosen
    Word is Microsoft’s widely used word processing application for creating, editing, and formatting text documents.
  • B. Microsoft Office
    Microsoft Office is a widely used suite of productivity applications developed by Microsoft, including programs for word processing, spreadsheets, presentations, email, and more.
  • C. 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.
  • D. WPS
    WPS was a top-tier professional women’s soccer league in the United States that operated from 2009 to 2012.
  • E. Notepad
    Notepad is a simple text-editing program for Windows that allows users to create and edit plain text files without formatting.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a08bb6881909bdd7643626e1a64 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.