Triple

T12514823
Position Surface form Disambiguated ID Type / Status
Subject nm E299167 entity
Predicate hasImplementation P3697 FINISHED
Object LLVM nm
LLVM nm is a version of the Unix `nm` tool implemented within the LLVM project that lists symbols from object files and binaries.
 E986967 NE FINISHED

How this triple was built (4 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: LLVM nm | Statement: [nm, hasImplementation, LLVM nm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LLVM nm
Context triple: [nm, hasImplementation, LLVM nm]
  • A. llvm-objdump
    llvm-objdump is an LLVM-based command-line tool for displaying information about object files, such as disassembly, headers, and symbols.
  • B. llvm-ar
    llvm-ar is the LLVM project's implementation of the Unix archiver tool, used to create, modify, and extract from static library archives.
  • C. GNU objdump
    GNU objdump is a command-line utility from the GNU Binutils suite used to display detailed information about object files and executables, including disassembly of machine code.
  • D. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • E. llvm-objcopy
    llvm-objcopy is an LLVM command-line utility for copying and transforming object files, enabling operations like stripping, section manipulation, and format conversion.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LLVM nm
Triple: [nm, hasImplementation, LLVM nm]
Generated description
LLVM nm is a version of the Unix `nm` tool implemented within the LLVM project that lists symbols from object files and binaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LLVM nm
Target entity description: LLVM nm is a version of the Unix `nm` tool implemented within the LLVM project that lists symbols from object files and binaries.
  • A. llvm-objdump
    llvm-objdump is an LLVM-based command-line tool for displaying information about object files, such as disassembly, headers, and symbols.
  • B. llvm-ar
    llvm-ar is the LLVM project's implementation of the Unix archiver tool, used to create, modify, and extract from static library archives.
  • C. GNU objdump
    GNU objdump is a command-line utility from the GNU Binutils suite used to display detailed information about object files and executables, including disassembly of machine code.
  • D. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • E. llvm-objcopy
    llvm-objcopy is an LLVM command-line utility for copying and transforming object files, enabling operations like stripping, section manipulation, and format conversion.
  • F. None of above. chosen

Provenance (5 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbd58b88190baeb99380babf64f completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce1b0ec8190bcbd245255e548b5 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.