Triple
T7933720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rich Text Format |
E184240
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | WordPad |
E195617
|
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: WordPad | Statement: [Rich Text Format, usedBy, WordPad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WordPad Context triple: [Rich Text Format, usedBy, WordPad]
-
A.
WordPad
chosen
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.
-
B.
Notepad
Notepad is a simple text-editing program for Windows that allows users to create and edit plain text files without formatting.
-
C.
Word
Word is Microsoft’s widely used word processing application for creating, editing, and formatting text documents.
-
D.
Corel WordPerfect Office
Corel WordPerfect Office is an office productivity suite by Corel that includes word processing, spreadsheet, presentation, and related tools, historically popular as an alternative to Microsoft Office.
-
E.
TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aeb132c8190bea4906aaf51b869 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c041e588190bfbf251ed88d5bcd |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:08 p.m.