Triple

T12900380
Position Surface form Disambiguated ID Type / Status
Subject Magit E308596 entity
Predicate name P16 FINISHED
Object Magit E308596 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: Magit | Statement: [Magit, name, Magit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magit
Context triple: [Magit, name, Magit]
  • A. Magit chosen
    Magit is a powerful, interactive Git interface for the Emacs text editor that streamlines version control operations through a rich, keyboard-driven UI.
  • B. Pro Git
    Pro Git is a comprehensive, freely available book that serves as a widely used guide to the Git version control system for developers of all levels.
  • C. Git
    Git is a widely used distributed version control system designed to efficiently track changes in source code and support collaborative software development.
  • D. The Silver Searcher
    The Silver Searcher is a fast, command-line code-search tool (often invoked as `ag`) known for its speed and simplicity in searching large codebases.
  • 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.