Triple
T8288270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kernel32 |
E193833
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | kernel32.dll |
E193833
|
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: kernel32.dll | Statement: [Kernel32, alsoKnownAs, kernel32.dll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kernel32.dll Context triple: [Kernel32, alsoKnownAs, kernel32.dll]
-
A.
Kernel32
chosen
Kernel32 is a core Windows system library that provides fundamental kernel-level functions for process, memory, and thread management in the Win32 API.
-
B.
ntoskrnl.exe
ntoskrnl.exe is the core Windows NT operating system kernel executable responsible for low-level system functions such as process and memory management.
-
C.
KERNAL
KERNAL is the low-level operating system and I/O firmware of Commodore 8-bit computers, providing core routines for hardware access and system services.
-
D.
Gdi32
Gdi32 is a core Windows graphics library that provides functions for drawing text, shapes, and images and managing graphical device interfaces in the Win32 API.
-
E.
Win32 API
Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c98e15c8190ac2a0b2a5ff834c9 |
completed | March 31, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68898610819091a76f89cd2a6aa2 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:52 p.m.