Triple
T1065632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Bettany |
E23203
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bettany
Bettany is an English surname most notably associated with actor Paul Bettany.
|
E129442
|
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: Bettany | Statement: [Paul Bettany, familyName, Bettany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bettany Context triple: [Paul Bettany, familyName, Bettany]
-
A.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
B.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
-
C.
Colsterworth
Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
-
D.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
E.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
- 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: Bettany Triple: [Paul Bettany, familyName, Bettany]
Generated description
Bettany is an English surname most notably associated with actor Paul Bettany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bettany Target entity description: Bettany is an English surname most notably associated with actor Paul Bettany.
-
A.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
B.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
-
C.
Colsterworth
Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
-
D.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
E.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac599c08f481908b720e2cc7c4a5ef |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a6b43cc81908086f4c4e2bb34c8 |
completed | March 7, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5add366c819086a01654c6cdcf38 |
completed | March 7, 2026, 5:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.