Triple
T8246996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xfce |
E192873
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object |
Thunar
Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
|
E721336
|
NE FINISHED |
How this triple was built (4 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: Thunar | Statement: [Xfce, component, Thunar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunar Context triple: [Xfce, component, Thunar]
-
A.
Eazel
Eazel was a short-lived software company best known for developing the Nautilus file manager and attempting to simplify the Linux desktop experience around 2000–2001.
-
B.
GNOME Files
GNOME Files is the default file manager for the GNOME desktop environment, providing a graphical interface for browsing, organizing, and managing files and folders.
-
C.
Openbox
Openbox is a lightweight, highly configurable stacking window manager for the X Window System, often used in minimal or performance-focused Linux desktop setups.
-
D.
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.
-
E.
Nepomuk
Nepomuk is a small historic town in the Plzeň Region of the Czech Republic, best known as the birthplace of Saint John of Nepomuk.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thunar Triple: [Xfce, component, Thunar]
Generated description
Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thunar Target entity description: Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
-
A.
Eazel
Eazel was a short-lived software company best known for developing the Nautilus file manager and attempting to simplify the Linux desktop experience around 2000–2001.
-
B.
GNOME Files
GNOME Files is the default file manager for the GNOME desktop environment, providing a graphical interface for browsing, organizing, and managing files and folders.
-
C.
Openbox
Openbox is a lightweight, highly configurable stacking window manager for the X Window System, often used in minimal or performance-focused Linux desktop setups.
-
D.
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.
-
E.
Nepomuk
Nepomuk is a small historic town in the Plzeň Region of the Czech Republic, best known as the birthplace of Saint John of Nepomuk.
- F. None of above. chosen
Provenance (5 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb787414508190a08cf47d1545ce50 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3530ca148190a28761622d0cf663 |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd37a5d3bc8190801b1b0f09eee462 |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4ef034ec8190a4229b21e6088c79 |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:48 p.m.