Triple

T2792401
Position Surface form Disambiguated ID Type / Status
Subject GNU Make E61958 entity
Predicate influenced P9 FINISHED
Object CMake E284629 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: CMake | Statement: [GNU Make, influenced, CMake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMake
Context triple: [GNU Make, influenced, CMake]
  • A. CMake chosen
    CMake is an open-source, cross-platform build system generator that manages the build process for software projects using compiler- and platform-independent configuration files.
  • B. GNU Make
    GNU Make is a widely used build automation tool that controls the compilation and linking of programs by interpreting makefiles to manage dependencies and execute commands efficiently.
  • C. Code::Blocks
    Code::Blocks is a free, open-source, cross-platform integrated development environment (IDE) primarily designed for C, C++, and Fortran programming.
  • D. GNU Automake
    GNU Automake is a build system tool that automatically generates portable Makefiles for software packages, following GNU coding and packaging standards.
  • E. C++
    C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddd107ac81908eb1a6946834eee3 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.