Triple
T12280687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLD |
E292709
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Mach-O linker |
E292709
|
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: Mach-O linker | Statement: [LLD, component, Mach-O linker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mach-O linker Context triple: [LLD, component, Mach-O linker]
-
A.
Mach-O binary format
The Mach-O binary format is the native executable and object file format used by macOS and iOS systems for programs, libraries, and related binary code.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
LLD linker
chosen
LLD linker is LLVM’s high-performance, modern linker designed as a faster, drop-in replacement for traditional system linkers across multiple platforms.
- 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_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.