Triple
T2716468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLVM |
E59978
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | llvm-nm |
E59978
|
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: llvm-nm | Statement: [LLVM, hasComponent, llvm-nm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: llvm-nm Context triple: [LLVM, hasComponent, llvm-nm]
-
A.
GNU Binutils
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.
LLVM
chosen
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
-
C.
LLDB
LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
-
D.
dyld
dyld is the dynamic linker for macOS and other Darwin-based systems, responsible for loading and linking shared libraries at program startup and runtime.
-
E.
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.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda964d4881908179b2a1b16411e4 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68c3ccc81909995d17651af27ed |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.