Triple
T8471662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Font Manager |
E200293
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | TextEdit |
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 | Statement: [Font Manager, usedBy, TextEdit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TextEdit Context triple: [Font Manager, usedBy, TextEdit]
-
A.
TextEdit
chosen
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
B.
EDIT
EDIT is a simple text editor included with the FreeDOS operating system, modeled after the classic MS-DOS Editor for creating and modifying plain text files.
-
C.
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.
-
D.
textutils
textutils was the former name of a collection of GNU command-line text processing utilities that were later consolidated into the GNU Core Utilities package.
-
E.
TEdit
TEdit is a standard text input control in Delphi's Visual Component Library used for entering and editing single-line text.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dda5230819087ab2509eb958fc2 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.