Triple
T9712303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pluma |
E235049
|
entity |
| Predicate | isForkOf |
P909
|
FINISHED |
| Object | gedit |
E745766
|
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: gedit | Statement: [Pluma, isForkOf, gedit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: gedit Context triple: [Pluma, isForkOf, gedit]
-
A.
GNOME Text Editor
chosen
GNOME Text Editor is the modern, default text-editing application for the GNOME desktop environment, designed with a simple interface and integration into the GNOME ecosystem.
-
B.
Pluma text editor
Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
-
C.
WinEdt
WinEdt is a powerful, customizable text editor for Windows widely used as a front-end for creating and managing LaTeX documents.
-
D.
TextEdit
TextEdit is a simple, built-in macOS application for creating and editing plain text and rich text documents.
-
E.
Sam text editor
Sam text editor is a powerful, programmable text editor from Bell Labs, designed by Rob Pike with a structural regular-expression-based command language and tight integration between its command and editing interfaces.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0705f8819095852263009c28c5 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.