Triple
T1774252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SimpleText |
E38941
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | TextEdit on Mac OS X |
E41446
|
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: TextEdit on Mac OS X | Statement: [SimpleText, successor, TextEdit on Mac OS X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TextEdit on Mac OS X Context triple: [SimpleText, successor, TextEdit on Mac OS X]
-
A.
TextEdit
chosen
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
B.
MacWrite
MacWrite was one of the first WYSIWYG word processors for the original Macintosh, showcasing the platform’s graphical user interface and desktop publishing capabilities.
-
C.
Bravo text editor
Bravo text editor was an early WYSIWYG word processing program developed at Xerox PARC that pioneered many modern graphical text-editing concepts.
-
D.
macOS Cocoa
macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
-
E.
Gypsy text editor
Gypsy text editor was an early WYSIWYG word processing program for the Xerox Alto that pioneered modern graphical user interface concepts such as direct manipulation and mouse-based text editing.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64b59428819082e0d43a61f4f299 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9982d208190b0c29ee1141e91b0 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.