Triple
T941767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherkley Court |
E20321
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Cherkley
Cherkley is a historic English country estate in Surrey, best known as the former home of newspaper magnate Lord Beaverbrook.
|
E153774
|
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: Cherkley | Statement: [Cherkley Court, formerName, Cherkley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherkley Context triple: [Cherkley Court, formerName, Cherkley]
-
A.
Culcheth
Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
-
B.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
-
C.
Chicksands
Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
-
D.
Crowland
Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
-
E.
Ilchester
Ilchester is a historic village and former Roman town in Somerset, England, known for its strategic location and long-standing military and transport connections.
- 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: Cherkley Triple: [Cherkley Court, formerName, Cherkley]
Generated description
Cherkley is a historic English country estate in Surrey, best known as the former home of newspaper magnate Lord Beaverbrook.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherkley Target entity description: Cherkley is a historic English country estate in Surrey, best known as the former home of newspaper magnate Lord Beaverbrook.
-
A.
Culcheth
Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
-
B.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
-
C.
Chicksands
Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
-
D.
Crowland
Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
-
E.
Ilchester
Ilchester is a historic village and former Roman town in Somerset, England, known for its strategic location and long-standing military and transport connections.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc5ff51c48190ab9b096d9d885d8f |
completed | March 8, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69acc6ae66408190bf48fe3150a08116 |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc73b92248190b723cb64046799e3 |
completed | March 8, 2026, 12:47 a.m. |
Created at: March 1, 2026, 7:40 p.m.