Triple

T8950992
Position Surface form Disambiguated ID Type / Status
Subject Windows 2.0 E213344 entity
Predicate includedComponent P1393 FINISHED
Object Notepad E193790 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: Notepad | Statement: [Windows 2.0, includedComponent, Notepad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Notepad
Context triple: [Windows 2.0, includedComponent, Notepad]
  • A. Notepad chosen
    Notepad is a simple text-editing program for Windows that allows users to create and edit plain text files without formatting.
  • B. WordPad
    WordPad is a basic word processing application for Microsoft Windows that offers more features than Notepad but fewer than full office suites like Microsoft Word.
  • C. Bloc-notes
    Bloc-notes is a series of political and literary newspaper columns by French writer François Mauriac, reflecting his commentary on contemporary events and society.
  • D. OneNote
    OneNote is Microsoft's digital note-taking application that lets users capture, organize, and sync notes, drawings, and multimedia content across devices.
  • E. Simplenote
    Simplenote is a minimalist, cross-platform note-taking app focused on fast, distraction-free writing and seamless cloud syncing.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670c7244819084978922a9835bc9 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc20a5ab481909e10f3abf679ec4c completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 6:59 p.m.