Triple

T6179089
Position Surface form Disambiguated ID Type / Status
Subject Charles Simonyi E137892 entity
Predicate workedOn P3 FINISHED
Object Bravo text editor E89072 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: Bravo text editor | Statement: [Charles Simonyi, workedOn, Bravo text editor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bravo text editor
Context triple: [Charles Simonyi, workedOn, Bravo text editor]
  • A. Bravo text editor chosen
    Bravo text editor was an early WYSIWYG word processing program developed at Xerox PARC that pioneered many modern graphical text-editing concepts.
  • B. Emacs family of editors
    The Emacs family of editors is a lineage of highly extensible, customizable text editors—most notably GNU Emacs—that serve as powerful, programmable environments for text editing and software development.
  • C. Pluma text editor
    Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
  • D. vi text editor
    The vi text editor is a classic, modal, screen-oriented text editor for Unix systems that became a standard tool for programmers and system administrators.
  • E. Vim
    Vim is a highly configurable, keyboard-driven text editor renowned for its efficiency, modal editing, and extensive plugin ecosystem, widely used by programmers and power users.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dcb77948190b5385438f81bf0a8 completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141bf3f4081909849e38d322da251 completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:18 p.m.