Triple

T8806905
Position Surface form Disambiguated ID Type / Status
Subject LLDB E209553 entity
Predicate usesComponent P35 FINISHED
Object Clang AST E59601 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: Clang AST | Statement: [LLDB, usesComponent, Clang AST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clang AST
Context triple: [LLDB, usesComponent, Clang AST]
  • A. Clang chosen
    Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
  • B. libclang library
    The libclang library is a C interface to the Clang compiler’s parsing and analysis capabilities, enabling tools to programmatically inspect, analyze, and manipulate C-family source code.
  • C. clangd
    clangd is a language server for C and C++ (and related languages) that provides code completion, navigation, and other IDE features based on the Clang compiler infrastructure.
  • D. Clang-Tidy
    Clang-Tidy is a C++ “linter” and static analysis tool that automatically detects and suggests fixes for common programming errors, style issues, and potential bugs in code.
  • E. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd1f1a08190a2e584f6b0495f5c completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f96bb448190b9316ad55d61662a completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.