Triple

T3393736
Position Surface form Disambiguated ID Type / Status
Subject Paul Eggert E71478 entity
Predicate notableWork P4 FINISHED
Object GNU Diffutils E61966 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: GNU Diffutils | Statement: [Paul Eggert, notableWork, GNU Diffutils]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Diffutils
Context triple: [Paul Eggert, notableWork, GNU Diffutils]
  • A. GNU Diffutils chosen
    GNU Diffutils is a collection of GNU utilities for comparing files and directories, most notably providing the standard `diff` and `cmp` tools used on Unix-like systems.
  • B. diff3
    diff3 is a GNU Diffutils command-line program that compares and merges three versions of a file, commonly used for resolving merge conflicts.
  • C. Magit
    Magit is a powerful, interactive Git interface for the Emacs text editor that streamlines version control operations through a rich, keyboard-driven UI.
  • D. GNU Core Utilities
    GNU Core Utilities is a collection of essential command-line tools for Unix-like operating systems, providing fundamental file, text, and shell utilities widely used in GNU/Linux systems.
  • E. GNU Grep
    GNU Grep is the GNU Project’s free, open-source implementation of the grep command-line utility used for fast text searching and pattern matching in files.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb853746c8190bfa1447e6ebbefb3 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc8a75c8190ab4f652272d33576 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.