Triple
T2716360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Org-mode |
E59977
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Org-mode community |
E59977
|
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: Org-mode community | Statement: [Org-mode, developer, Org-mode community]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Org-mode community Context triple: [Org-mode, developer, Org-mode community]
-
A.
org-mode
chosen
org-mode is a powerful Emacs-based system for organizing notes, tasks, and documents using plain-text outlines and embedded markup.
-
B.
Gnus
Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
-
C.
Spacemacs
Spacemacs is a community-driven Emacs distribution that combines Vim- and Emacs-style editing with a highly organized, modular configuration system.
-
D.
Emacs Lisp (for GNU Emacs environment)
Emacs Lisp is a dialect of the Lisp programming language used as the extension and scripting language of the GNU Emacs text editor.
-
E.
GNU Emacs
GNU Emacs is a highly extensible, customizable text editor and computing environment that serves as a flagship project of the GNU system and the free software movement.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda964d4881908179b2a1b16411e4 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68a3cb881909fd29018154ae4d3 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.