Triple
T7260396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Oxburgh |
E159634
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Oxburgh
Oxburgh is a surname most notably associated with Ronald Oxburgh, a British geologist, academic, and crossbench life peer in the House of Lords.
|
E652875
|
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: Oxburgh | Statement: [Ronald Oxburgh, familyName, Oxburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxburgh Context triple: [Ronald Oxburgh, familyName, Oxburgh]
-
A.
Dereham
Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
-
B.
Wells-next-the-Sea
Wells-next-the-Sea is a small coastal town in Norfolk, England, known for its picturesque harbor, expansive sandy beach, and traditional seaside charm.
-
C.
Aylsham
Aylsham is a historic market town in eastern England known for its traditional architecture and proximity to the Norfolk Broads.
-
D.
Harleston
Harleston is a village and civil parish located in the county of Suffolk in eastern England.
-
E.
Alnmouth
Alnmouth is a coastal village in Northumberland, England, known for its scenic beach, historic harbor, and role as a small railway stop on the route between Newcastle and Edinburgh.
- 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: Oxburgh Triple: [Ronald Oxburgh, familyName, Oxburgh]
Generated description
Oxburgh is a surname most notably associated with Ronald Oxburgh, a British geologist, academic, and crossbench life peer in the House of Lords.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oxburgh Target entity description: Oxburgh is a surname most notably associated with Ronald Oxburgh, a British geologist, academic, and crossbench life peer in the House of Lords.
-
A.
Dereham
Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
-
B.
Wells-next-the-Sea
Wells-next-the-Sea is a small coastal town in Norfolk, England, known for its picturesque harbor, expansive sandy beach, and traditional seaside charm.
-
C.
Aylsham
Aylsham is a historic market town in eastern England known for its traditional architecture and proximity to the Norfolk Broads.
-
D.
Harleston
Harleston is a village and civil parish located in the county of Suffolk in eastern England.
-
E.
Alnmouth
Alnmouth is a coastal village in Northumberland, England, known for its scenic beach, historic harbor, and role as a small railway stop on the route between Newcastle and Edinburgh.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac5311c819094fc6880f3152813 |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db175b188190beb5ba5ebb662c9b |
completed | March 28, 2026, 1:43 p.m. |
| NEDg | Description generation | batch_69c7dc05a1d0819088a7b3fd30978776 |
completed | March 28, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc7cb2d48190a40523eb7b03a9ef |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 2:57 p.m.