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.