Triple
T17758008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James J. Couzens |
E443295
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Couzens
Couzens is a surname most notably associated with James J. Couzens, an American businessman and U.S. Senator from Michigan.
|
E1287291
|
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: Couzens | Statement: [James J. Couzens, familyName, Couzens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couzens Context triple: [James J. Couzens, familyName, Couzens]
-
A.
Loscoe
Loscoe is a village in Derbyshire, England, known for its residential character and proximity to the town of Heanor.
-
B.
Cunsey
Cunsey is a small hamlet in the Lake District of Cumbria, England, situated near the western shore of Windermere.
-
C.
Warburton
Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
-
D.
Warburton
Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
-
E.
Warburton
Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
- 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: Couzens Triple: [James J. Couzens, familyName, Couzens]
Generated description
Couzens is a surname most notably associated with James J. Couzens, an American businessman and U.S. Senator from Michigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Couzens Target entity description: Couzens is a surname most notably associated with James J. Couzens, an American businessman and U.S. Senator from Michigan.
-
A.
Loscoe
Loscoe is a village in Derbyshire, England, known for its residential character and proximity to the town of Heanor.
-
B.
Cunsey
Cunsey is a small hamlet in the Lake District of Cumbria, England, situated near the western shore of Windermere.
-
C.
Warburton
Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
-
D.
Warburton
Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
-
E.
Warburton
Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841fe97881908f4df503fb781763 |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efb8d5288190802b6329fd13d5a9 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f113a41c8190b17611eaa50516ca |
completed | May 12, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1e980f4819087eb191e13396581 |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:10 a.m.