Triple

T12900813
Position Surface form Disambiguated ID Type / Status
Subject Henrik Lissner E308604 entity
Predicate knownFor P22 FINISHED
Object Doom Emacs E59587 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: Doom Emacs | Statement: [Henrik Lissner, knownFor, Doom Emacs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doom Emacs
Context triple: [Henrik Lissner, knownFor, Doom Emacs]
  • A. Doom Emacs chosen
    Doom Emacs is a fast, modular, and highly-configurable Emacs distribution that provides a modern, Vim-inspired editing experience with curated defaults and packages.
  • B. Spacemacs
    Spacemacs is a community-driven Emacs distribution that combines Vim- and Emacs-style editing with a highly organized, modular configuration system.
  • 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. 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.
  • 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_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_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.