Triple

T15659728
Position Surface form Disambiguated ID Type / Status
Subject The Dybbuk E376537 entity
Predicate setting P1957 FINISHED
Object Brinitz
Brinitz is the fictional Eastern European shtetl that serves as the primary backdrop for S. Ansky’s Yiddish play "The Dybbuk."
E1170359 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: Brinitz | Statement: [The Dybbuk, setting, Brinitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brinitz
Context triple: [The Dybbuk, setting, Brinitz]
  • A. Brylin
    Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
  • B. Brinkin
    Brinkin is a coastal residential suburb in Darwin, Northern Territory, known for its proximity to Charles Darwin University and Casuarina Beach.
  • C. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • D. Bresee
    Bresee is a surname most notably associated with Phineas F. Bresee, a key founder of the Church of the Nazarene.
  • E. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • 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: Brinitz
Triple: [The Dybbuk, setting, Brinitz]
Generated description
Brinitz is the fictional Eastern European shtetl that serves as the primary backdrop for S. Ansky’s Yiddish play "The Dybbuk."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brinitz
Target entity description: Brinitz is the fictional Eastern European shtetl that serves as the primary backdrop for S. Ansky’s Yiddish play "The Dybbuk."
  • A. Brylin
    Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
  • B. Brinkin
    Brinkin is a coastal residential suburb in Darwin, Northern Territory, known for its proximity to Charles Darwin University and Casuarina Beach.
  • C. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • D. Bresee
    Bresee is a surname most notably associated with Phineas F. Bresee, a key founder of the Church of the Nazarene.
  • E. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef4e6a08190ad8bbafaa3612f22 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679bb7f0819092a98c2981bc9267 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68a1b374819089dc6fe1f252cc0f completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff698bf6a481908d326451232a8cbb completed May 9, 2026, 5:06 p.m.
Created at: April 10, 2026, 4:15 a.m.