Triple
T9025688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xterm |
E216041
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
rxvt
rxvt is a lightweight, customizable terminal emulator for the X Window System, designed as a faster and less resource-intensive alternative to xterm.
|
E773891
|
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: rxvt | Statement: [xterm, influenced, rxvt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: rxvt Context triple: [xterm, influenced, rxvt]
-
A.
XVT
XVT is the IATA station code for Ventimiglia railway station, a key rail hub in the border town of Ventimiglia in northwestern Italy.
-
B.
xterm
xterm is a widely used terminal emulator for the X Window System on Unix-like operating systems, known for its long history and role as a de facto standard.
-
C.
LXTerminal
LXTerminal is a lightweight, fast, and minimal terminal emulator designed for the LXDE desktop environment, optimized for low-resource systems.
-
D.
xfce4-terminal
xfce4-terminal is the lightweight, tabbed terminal emulator designed for the Xfce desktop environment on Unix-like systems.
-
E.
IceWM
IceWM is a lightweight, fast, and highly configurable stacking window manager for the X Window System, popular on resource-constrained Linux and Unix-like systems.
- 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: rxvt Triple: [xterm, influenced, rxvt]
Generated description
rxvt is a lightweight, customizable terminal emulator for the X Window System, designed as a faster and less resource-intensive alternative to xterm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: rxvt Target entity description: rxvt is a lightweight, customizable terminal emulator for the X Window System, designed as a faster and less resource-intensive alternative to xterm.
-
A.
XVT
XVT is the IATA station code for Ventimiglia railway station, a key rail hub in the border town of Ventimiglia in northwestern Italy.
-
B.
xterm
xterm is a widely used terminal emulator for the X Window System on Unix-like operating systems, known for its long history and role as a de facto standard.
-
C.
LXTerminal
LXTerminal is a lightweight, fast, and minimal terminal emulator designed for the LXDE desktop environment, optimized for low-resource systems.
-
D.
xfce4-terminal
xfce4-terminal is the lightweight, tabbed terminal emulator designed for the Xfce desktop environment on Unix-like systems.
-
E.
IceWM
IceWM is a lightweight, fast, and highly configurable stacking window manager for the X Window System, popular on resource-constrained Linux and Unix-like systems.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7ce71c81908041814dc9ec1713 |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbf786081908df45b4e615bbba9 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdd3117c881908645b6526537571a |
completed | April 3, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfe10917188190b0223b14e7a8ed39 |
completed | April 3, 2026, 3:47 p.m. |
Created at: March 30, 2026, 7:07 p.m.