Triple

T3393738
Position Surface form Disambiguated ID Type / Status
Subject Paul Eggert E71478 entity
Predicate notableWork P4 FINISHED
Object GNU Gawk E61964 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 Gawk | Statement: [Paul Eggert, notableWork, GNU Gawk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Gawk
Context triple: [Paul Eggert, notableWork, GNU Gawk]
  • A. GNU Awk chosen
    GNU Awk is the GNU Project’s enhanced implementation of the AWK programming language, widely used for powerful text processing and data extraction in Unix-like environments.
  • B. GNU As
    GNU As is the GNU Project’s assembler, used to translate assembly language code into machine code as part of the GNU toolchain.
  • C. 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.
  • D. GNU Sed
    GNU Sed is the GNU Project’s free, open-source implementation of the stream editor `sed`, widely used for non-interactive text processing and transformation on Unix-like systems.
  • E. 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.
  • 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.