Triple
T17975931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Wayland |
E449470
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wayland
Wayland is a surname of English origin borne by various notable individuals across different fields.
|
E1299406
|
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: Wayland | Statement: [Julius Wayland, familyName, Wayland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayland Context triple: [Julius Wayland, familyName, Wayland]
-
A.
Wayland
Wayland is a modern display server protocol for Linux and other Unix-like systems designed to replace the X Window System with a simpler, more efficient architecture.
-
B.
Wayland
Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
-
C.
XWayland
XWayland is a compatibility layer that allows traditional X11 applications to run seamlessly within Wayland-based display servers.
-
D.
wlroots
wlroots is a modular, compositor-focused library that provides building blocks for creating Wayland compositors, widely used in lightweight and tiling window managers.
-
E.
Wayfire
Wayfire is a 3D Wayland compositor for Linux that focuses on eye-candy effects and plugin-driven customization, inspired by Compiz.
- 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: Wayland Triple: [Julius Wayland, familyName, Wayland]
Generated description
Wayland is a surname of English origin borne by various notable individuals across different fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wayland Target entity description: Wayland is a surname of English origin borne by various notable individuals across different fields.
-
A.
Wayland
Wayland is a modern display server protocol for Linux and other Unix-like systems designed to replace the X Window System with a simpler, more efficient architecture.
-
B.
Wayland
Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
-
C.
XWayland
XWayland is a compatibility layer that allows traditional X11 applications to run seamlessly within Wayland-based display servers.
-
D.
wlroots
wlroots is a modular, compositor-focused library that provides building blocks for creating Wayland compositors, widely used in lightweight and tiling window managers.
-
E.
Wayfire
Wayfire is a 3D Wayland compositor for Linux that focuses on eye-candy effects and plugin-driven customization, inspired by Compiz.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fee86c8190a9a220b008e78e10 |
completed | April 19, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03301821088190802834bfa3ddf2d7 |
completed | May 12, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0332130f108190a3fbcf146ecd9d81 |
completed | May 12, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0333605db48190a7195d65ea4ad047 |
completed | May 12, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:22 a.m.