Triple
T3244508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solaris |
E68039
|
entity |
| Predicate | feature |
P374
|
FINISHED |
| Object | DTrace |
E68056
|
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: DTrace | Statement: [Solaris, feature, DTrace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTrace Context triple: [Solaris, feature, DTrace]
-
A.
DTrace
chosen
DTrace is a comprehensive dynamic tracing framework originally developed for Solaris that enables real-time, low-overhead observability and debugging of operating systems and applications.
-
B.
gperftools
gperftools is a Google-developed collection of performance analysis tools for C++ programs, including a fast memory allocator and CPU/heap profilers.
-
C.
LLDB
LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
-
D.
I/O Kit
I/O Kit is macOS and iOS’s object-oriented driver framework that manages hardware devices and their interaction with the operating system.
-
E.
XNU
XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1982448190b3d60c9e4471421f |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2775be7c88190ba60b191f1c51e19 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.