Triple

T12900586
Position Surface form Disambiguated ID Type / Status
Subject Vim E308599 entity
Predicate notableFork P48596 FINISHED
Object Neovim E183289 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: Neovim | Statement: [Vim, notableFork, Neovim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neovim
Context triple: [Vim, notableFork, Neovim]
  • A. Neovim chosen
    Neovim is a modern, extensible, and highly configurable fork of the Vim text editor, designed to improve usability, maintainability, and plugin integration for developers.
  • B. 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.
  • C. MacVim
    MacVim is a macOS-native graphical version of the Vim text editor that integrates with the Mac user interface while preserving Vim’s modal editing features.
  • D. vim-plug
    vim-plug is a minimalist, fast, and popular plugin manager for Vim and Neovim that simplifies installing, updating, and configuring editor plugins.
  • E. Visual Studio Code
    Visual Studio Code is a popular, lightweight, cross-platform source-code editor from Microsoft that supports extensive extensions and debugging features for many programming languages.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af59f3cc81908c99bcde43e724e6 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:40 p.m.