Triple

T8288287
Position Surface form Disambiguated ID Type / Status
Subject Kernel32 E193833 entity
Predicate partOf P40 FINISHED
Object Win32 API 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 API | Statement: [Kernel32, partOf, Win32 API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Win32 API
Context triple: [Kernel32, partOf, Win32 API]
  • 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. User32
    User32 is a core Windows API library that manages user interface components such as windows, menus, and input handling.
  • C. Win16 API
    Win16 API is the 16-bit Windows application programming interface used by early versions of Microsoft Windows (such as Windows 3.x) for software development before the transition to 32-bit systems.
  • D. 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.
  • 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_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_69cde76537108190a1e1f92b97432698 completed April 2, 2026, 3:49 a.m.
Created at: March 30, 2026, 5:52 p.m.