Triple

T2629220
Position Surface form Disambiguated ID Type / Status
Subject GNU toolchain E59593 entity
Predicate includes P1393 FINISHED
Object GNU objdump E61957 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 objdump | Statement: [GNU toolchain, includes, GNU objdump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU objdump
Context triple: [GNU toolchain, includes, GNU objdump]
  • A. GNU Binutils chosen
    GNU Binutils is a collection of binary tools, including assemblers, linkers, and related utilities, widely used in software development for compiling and manipulating executable programs and object files.
  • B. GNU Debugger
    GNU Debugger (GDB) is a widely used free and open-source debugging tool for programs written in languages like C, C++, and Fortran, allowing developers to inspect and control program execution.
  • C. Universal 2 binary format
    Universal 2 binary format is Apple’s macOS application packaging format that combines both Intel and Apple silicon (ARM) executables into a single app bundle for seamless cross-architecture support.
  • D. o32 ABI
    o32 ABI is a widely used 32-bit application binary interface for MIPS architectures that defines calling conventions, data types, and binary formats for compiled programs.
  • E. LLDB
    LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c452508190b02e1630d725497a completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a44a348190b8b49b37418dd94b completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.