Triple
T1042583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Boulton |
E22499
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anne Boulton
Anne Boulton was the wife of prominent English industrialist and manufacturer Matthew Boulton, associated with the early Industrial Revolution in Birmingham.
|
E223293
|
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: Anne Boulton | Statement: [Matthew Boulton, spouse, Anne Boulton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Boulton Context triple: [Matthew Boulton, spouse, Anne Boulton]
-
A.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
B.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
C.
Frances Penney
Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
-
D.
Mary Ryall
Mary Ryall is the daughter of mathematician and educationalist Mary Everest Boole.
-
E.
Clarissa Luard
Clarissa Luard was a British literary editor and arts administrator known for her work supporting contemporary writers and for her marriage to novelist Salman Rushdie.
- 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: Anne Boulton Triple: [Matthew Boulton, spouse, Anne Boulton]
Generated description
Anne Boulton was the wife of prominent English industrialist and manufacturer Matthew Boulton, associated with the early Industrial Revolution in Birmingham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Boulton Target entity description: Anne Boulton was the wife of prominent English industrialist and manufacturer Matthew Boulton, associated with the early Industrial Revolution in Birmingham.
-
A.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
B.
Sarah Barnard
Sarah Barnard was the wife of renowned English scientist Michael Faraday, providing personal support throughout his career in 19th-century London.
-
C.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
D.
Frances Penney
Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
-
E.
Mary Ryall
Mary Ryall is the daughter of mathematician and educationalist Mary Everest Boole.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b845fa8c8190a7b69629883b62e2 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02f0424481909c533774f0169ca7 |
completed | March 8, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_69ae059b6fbc81909ed89601d21dae28 |
completed | March 8, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0605faf08190a6f2204755595357 |
completed | March 8, 2026, 11:28 p.m. |
Created at: March 1, 2026, 7:42 p.m.