Triple
T10635096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Bienstock |
E250558
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bienstock
Bienstock is a surname most notably associated with Miriam Bienstock, a pioneering American music industry executive and co-founder of Atlantic Records.
|
E881420
|
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: Bienstock | Statement: [Miriam Bienstock, familyName, Bienstock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bienstock Context triple: [Miriam Bienstock, familyName, Bienstock]
-
A.
Redhill
Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
-
B.
Edgemead
Edgemead is a planned residential suburb in the northern part of Cape Town, South Africa, known for its garden-city layout and family-oriented community.
-
C.
Burgess Hill
Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
-
D.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
-
E.
Mill Hill
Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
- 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: Bienstock Triple: [Miriam Bienstock, familyName, Bienstock]
Generated description
Bienstock is a surname most notably associated with Miriam Bienstock, a pioneering American music industry executive and co-founder of Atlantic Records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bienstock Target entity description: Bienstock is a surname most notably associated with Miriam Bienstock, a pioneering American music industry executive and co-founder of Atlantic Records.
-
A.
Redhill
Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
-
B.
Edgemead
Edgemead is a planned residential suburb in the northern part of Cape Town, South Africa, known for its garden-city layout and family-oriented community.
-
C.
Burgess Hill
Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
-
D.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
-
E.
Mill Hill
Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfac70f481908363f9ac0b651fbe |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbace2a5388190bb685d347dd8aa6c |
completed | April 12, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 8, 2026, 9:03 p.m.