Triple
T12075365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Frances Kniveton |
E287530
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Kniveton
Kniveton is an English surname historically associated with a notable Derbyshire family and the village of Kniveton in England.
|
E965297
|
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: Kniveton | Statement: [Lady Frances Kniveton, hasFamilyName, Kniveton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kniveton Context triple: [Lady Frances Kniveton, hasFamilyName, Kniveton]
-
A.
Knelston
Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
-
B.
Ottershaw
Ottershaw is a village in Surrey, England, known for its residential character and green, wooded surroundings.
-
C.
Kilndown
Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
-
D.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
E.
Jedburgh
Jedburgh is a historic town in the Scottish Borders, known for its medieval abbey, ruined castle jail, and role as a former royal burgh near the English border.
- 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: Kniveton Triple: [Lady Frances Kniveton, hasFamilyName, Kniveton]
Generated description
Kniveton is an English surname historically associated with a notable Derbyshire family and the village of Kniveton in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kniveton Target entity description: Kniveton is an English surname historically associated with a notable Derbyshire family and the village of Kniveton in England.
-
A.
Knelston
Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
-
B.
Ottershaw
Ottershaw is a village in Surrey, England, known for its residential character and green, wooded surroundings.
-
C.
Kilndown
Kilndown is a small rural village in Kent, England, known for its historic church and woodland surroundings.
-
D.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
E.
Jedburgh
Jedburgh is a historic town in the Scottish Borders, known for its medieval abbey, ruined castle jail, and role as a former royal burgh near the English border.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045ceeec81909427cae8972eed26 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65ed5908190a0082796366a8825 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ebaa448190ba59485d9d7d68d1 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.