Triple
T2451626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Bamber |
E53717
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bamber
Bamber is an English surname borne by various notable individuals in fields such as acting, sports, and public life.
|
E273114
|
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: Bamber | Statement: [David Bamber, familyName, Bamber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamber Context triple: [David Bamber, familyName, Bamber]
-
A.
Buckingham
Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
-
B.
Buckingham
Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
-
C.
Maidenhead
Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
-
D.
Amersham
Amersham is a historic market town in southeast England known for its picturesque old town, Chilterns countryside setting, and role as a commuter hub into London.
-
E.
Egremont
Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England 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: Bamber Triple: [David Bamber, familyName, Bamber]
Generated description
Bamber is an English surname borne by various notable individuals in fields such as acting, sports, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bamber Target entity description: Bamber is an English surname borne by various notable individuals in fields such as acting, sports, and public life.
-
A.
Buckingham
Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
-
B.
Buckingham
Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
-
C.
Maidenhead
Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
-
D.
Amersham
Amersham is a historic market town in southeast England known for its picturesque old town, Chilterns countryside setting, and role as a commuter hub into London.
-
E.
Egremont
Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f52524819088b00009c9dd1823 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f82b220819084f2b5275bf3b596 |
completed | March 9, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69af20bcdc448190987350d28a525153 |
completed | March 9, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af2131ed6c81908dcce0d0d4e14bec |
completed | March 9, 2026, 7:36 p.m. |
Created at: March 6, 2026, 9:43 p.m.