Triple
T1719427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Win32 API |
E37357
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Win32 |
E37357
|
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: Win32 | Statement: [Win32 API, alsoKnownAs, Win32]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Win32 Context triple: [Win32 API, alsoKnownAs, Win32]
-
A.
Win32 API
chosen
Win32 API is Microsoft's core programming interface for developing native desktop applications that interact directly with the Windows operating system.
-
B.
Windows SDK
Windows SDK is Microsoft's official collection of tools, headers, libraries, and documentation used by developers to build applications for the Windows operating system.
-
C.
Kernel32
Kernel32 is a core Windows system library that provides fundamental kernel-level functions for process, memory, and thread management in the Win32 API.
-
D.
Windows
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
E.
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.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa633934a4819083f2929da03453a8 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d3a1508190bf05aa45e9966c49 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.