Triple
T12514819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nm |
E299167
|
entity |
| Predicate | typicalFileFormat |
P105373
|
FINISHED |
| Object | Mach-O |
E773465
|
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 | Statement: [nm, typicalFileFormat, Mach-O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mach-O Context triple: [nm, typicalFileFormat, Mach-O]
-
A.
Mach-O binary format
chosen
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.
XNU
XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
-
D.
Executable and Linkable Format
Executable and Linkable Format is a common standard file format used for executables, object code, shared libraries, and core dumps on Unix-like operating systems.
-
E.
Mach microkernel
Mach microkernel is a pioneering microkernel-based operating system kernel developed at Carnegie Mellon University, known for its message-passing architecture and influence on systems like NeXTSTEP and early versions of macOS.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d960c2e5b88190a7cc16002b218d8a |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655745cec8190b5582eb4a339d501 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.