Triple
T13956269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Brunsden |
E335667
|
entity |
| Predicate | spouseNameVariant |
P32626
|
FINISHED |
| Object |
Sir John Copley
Sir John Copley was a British lawyer and politician who served as Lord Chancellor of Great Britain in the early 19th century.
|
E48173
|
NE FINISHED |
How this triple was built (5 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: Sir John Copley | Statement: [Sarah Brunsden, spouseNameVariant, Sir John Copley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir John Copley Context triple: [Sarah Brunsden, spouseNameVariant, Sir John Copley]
-
A.
Sir John Copley
Sir John Copley, later Lord Lyndhurst, was a prominent 19th-century British lawyer and Conservative politician who served three times as Lord Chancellor of the United Kingdom.
-
B.
Sir Godfrey Copley
Sir Godfrey Copley was an English landowner, politician, and early patron of science whose legacy is commemorated by the Royal Society’s prestigious Copley Medal.
-
C.
Sir John Pelly
Sir John Pelly was a 19th-century British businessman and governor of the Hudson's Bay Company, influential in the exploration and administration of northern Canada.
-
D.
Sir John Willison
Sir John Willison was a prominent Canadian journalist and newspaper editor known for his influential role in early 20th-century political and public affairs.
-
E.
Sir John Thomas
Sir John Thomas is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
- 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: Sir John Copley Triple: [Sarah Brunsden, spouseNameVariant, Sir John Copley]
Generated description
Sir John Copley was a British lawyer and politician who served as Lord Chancellor of Great Britain in the early 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir John Copley Target entity description: Sir John Copley was a British lawyer and politician who served as Lord Chancellor of Great Britain in the early 19th century.
-
A.
Sir John Copley
chosen
Sir John Copley, later Lord Lyndhurst, was a prominent 19th-century British lawyer and Conservative politician who served three times as Lord Chancellor of the United Kingdom.
-
B.
Sir Godfrey Copley
Sir Godfrey Copley was an English landowner, politician, and early patron of science whose legacy is commemorated by the Royal Society’s prestigious Copley Medal.
-
C.
Sir John Pelly
Sir John Pelly was a 19th-century British businessman and governor of the Hudson's Bay Company, influential in the exploration and administration of northern Canada.
-
D.
Sir John Willison
Sir John Willison was a prominent Canadian journalist and newspaper editor known for his influential role in early 20th-century political and public affairs.
-
E.
Sir John Thomas
Sir John Thomas is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseNameVariant Context triple: [Sarah Brunsden, spouseNameVariant, Sir John Copley]
-
A.
spouse name
Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
-
B.
spouseAlsoKnownAs
chosen
Indicates that a person’s spouse is referred to by an alternative name or alias.
-
C.
spousePersonalName
Indicates the personal name of a person’s spouse in the relationship.
-
D.
spouseGivenName
Indicates that the value is the given (first) name of a person's spouse in the relationship.
-
E.
spouseFamilyName
Indicates that the object is the family name (surname) shared by or associated with a person's spouse.
- F. None of above.
Provenance (6 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8c06ec8190a6dfceab55da5b30 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbafe60f1c8190bf9f98f83bdf05db |
completed | May 6, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb04881f481909800f0183b30c370 |
completed | May 6, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.