Triple

T1612051
Position Surface form Disambiguated ID Type / Status
Subject ActiveX E34634 entity
Predicate platform P1292 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: [ActiveX, platform, Win32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Win32
Context triple: [ActiveX, platform, 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
    Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
  • C. Windows 32-bit
    Windows 32-bit is a family of Microsoft operating systems that run on 32-bit processors and support 32-bit applications and memory addressing.
  • D. Windows Shell
    Windows Shell is the graphical user interface and command environment of the Microsoft Windows operating system, providing the desktop, taskbar, file explorer, and related user interaction features.
  • E. Windows NT
    Windows NT is a family of Microsoft operating systems designed with a robust, secure, and modular architecture for professional and enterprise use.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098cd03081908c67f95fd54d2071 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58c6d7e88190b9fc0e34a007a2f5 completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:28 p.m.