Triple
T7731360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridget Playfer |
E175263
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Samuel Wasselbe
Samuel Wasselbe was the husband of Bridget Playfer, a woman later known as Bridget Marrow, who was associated with the household of the Elizabethan magus John Dee.
|
E685244
|
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: Samuel Wasselbe | Statement: [Bridget Playfer, spouse, Samuel Wasselbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Wasselbe Context triple: [Bridget Playfer, spouse, Samuel Wasselbe]
-
A.
Samuel Holdheim
Samuel Holdheim was a pioneering 19th-century German rabbi and theologian who became one of the most radical and influential leaders of early Reform Judaism.
-
B.
Samuel Joseph
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
-
C.
Samuel Fischer
Samuel Fischer was a prominent German publisher best known for founding the influential S. Fischer Verlag, which played a key role in modern German literature.
-
D.
Samuel Unger
Samuel Unger is a notable individual recognized as a prominent bearer of the Unger surname.
-
E.
Samuel Weiss
Samuel Weiss is a relatively obscure individual whose specific public significance is not clearly established from the available information.
- 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: Samuel Wasselbe Triple: [Bridget Playfer, spouse, Samuel Wasselbe]
Generated description
Samuel Wasselbe was the husband of Bridget Playfer, a woman later known as Bridget Marrow, who was associated with the household of the Elizabethan magus John Dee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samuel Wasselbe Target entity description: Samuel Wasselbe was the husband of Bridget Playfer, a woman later known as Bridget Marrow, who was associated with the household of the Elizabethan magus John Dee.
-
A.
Samuel Holdheim
Samuel Holdheim was a pioneering 19th-century German rabbi and theologian who became one of the most radical and influential leaders of early Reform Judaism.
-
B.
Samuel Joseph
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
-
C.
Samuel Fischer
Samuel Fischer was a prominent German publisher best known for founding the influential S. Fischer Verlag, which played a key role in modern German literature.
-
D.
Samuel Unger
Samuel Unger is a notable individual recognized as a prominent bearer of the Unger surname.
-
E.
Samuel Weiss
Samuel Weiss is a relatively obscure individual whose specific public significance is not clearly established from the available information.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70336aafc819099a060950ab8922f |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52e176481908595fea4ace7a607 |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b69c1644819097b84ba84fac9cd2 |
completed | March 29, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8ba9115a08190b569931686a9cd8d |
completed | March 29, 2026, 5:37 a.m. |
Created at: March 27, 2026, 4:06 p.m.