Triple

T12281551
Position Surface form Disambiguated ID Type / Status
Subject LLDB-MI (historical) E292726 entity
Predicate supportsDebugger P203 FINISHED
Object LLDB E209553 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: LLDB | Statement: [LLDB-MI (historical), supportsDebugger, LLDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LLDB
Context triple: [LLDB-MI (historical), supportsDebugger, LLDB]
  • A. LLDB chosen
    LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
  • B. LLDB-MI (historical)
    LLDB-MI (historical) was an older, now-deprecated machine interface front-end for the LLDB debugger in the LLVM project, intended to provide a GDB/MI-compatible interface for IDEs and other tools.
  • C. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • D. Clang
    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.
  • E. 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.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf2b09c81908a11581d33f65be0 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63464486c819085452675a43785b1 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.