Triple
T20212639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Silverton |
E493526
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Silverton
Silverton is a surname most notably associated with British journalist and television presenter Kate Silverton.
|
E1426982
|
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: Silverton | Statement: [Kate Silverton, familyName, Silverton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverton Context triple: [Kate Silverton, familyName, Silverton]
-
A.
Silverton
Silverton is a small historic city in Marion County, Oregon, known for its charming downtown, proximity to Silver Falls State Park, and strong agricultural roots.
-
B.
Silverton
Silverton is a small town in the Texas Panhandle that serves as the administrative and civic center of Briscoe County.
-
C.
Silverton
Silverton is a historic former mining town and popular tourist destination in southwestern Colorado, known for its rugged alpine setting and preserved Old West character.
-
D.
Pagosa Springs
Pagosa Springs is a small Colorado town renowned for its natural hot springs and scenic setting in the San Juan Mountains.
-
E.
Fruita
Fruita is a small city in western Colorado known for its outdoor recreation, mountain biking trails, and proximity to the Colorado National Monument.
- 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: Silverton Triple: [Kate Silverton, familyName, Silverton]
Generated description
Silverton is a surname most notably associated with British journalist and television presenter Kate Silverton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silverton Target entity description: Silverton is a surname most notably associated with British journalist and television presenter Kate Silverton.
-
A.
Silverton
Silverton is a historic former mining town and popular tourist destination in southwestern Colorado, known for its rugged alpine setting and preserved Old West character.
-
B.
Silverton
Silverton is a small historic city in Marion County, Oregon, known for its charming downtown, proximity to Silver Falls State Park, and strong agricultural roots.
-
C.
Silverton
Silverton is a small town in the Texas Panhandle that serves as the administrative and civic center of Briscoe County.
-
D.
Pagosa Springs
Pagosa Springs is a small Colorado town renowned for its natural hot springs and scenic setting in the San Juan Mountains.
-
E.
Fruita
Fruita is a small city in western Colorado known for its outdoor recreation, mountain biking trails, and proximity to the Colorado National Monument.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed627f48190a8ba638b85977af3 |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0870716c5c8190aeb5a8030709458f |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0871146b248190ac91cf010a984e1f |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871a818688190ad69bcf84e33d014 |
completed | May 16, 2026, 1:31 p.m. |
Created at: April 11, 2026, 11:38 p.m.