Triple

T2889597
Position Surface form Disambiguated ID Type / Status
Subject Evil mode E59585 entity
Predicate usedIn P98 FINISHED
Object Spacemacs E59586 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: Spacemacs | Statement: [Evil mode, usedIn, Spacemacs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spacemacs
Context triple: [Evil mode, usedIn, Spacemacs]
  • A. Spacemacs chosen
    Spacemacs is a community-driven Emacs distribution that combines Vim- and Emacs-style editing with a highly organized, modular configuration system.
  • B. Doom Emacs
    Doom Emacs is a fast, modular, and highly-configurable Emacs distribution that provides a modern, Vim-inspired editing experience with curated defaults and packages.
  • C. Neovim
    Neovim is a modern, extensible, and highly configurable fork of the Vim text editor, designed to improve usability, maintainability, and plugin integration for developers.
  • D. TECO Emacs
    TECO Emacs is an early, TECO-based text editor that served as a direct precursor and foundational influence to modern Emacs implementations like GNU Emacs.
  • E. GNU Emacs
    GNU Emacs is a highly extensible, customizable text editor and computing environment that serves as a flagship project of the GNU system and the free software movement.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe04a68ac8190aaeafe52138beb74 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03179d7448190bcdbea164856aaa2 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:04 p.m.