Triple

T16295790
Position Surface form Disambiguated ID Type / Status
Subject Tevye the Dairyman E395642 entity
Predicate hasDaughter P24357 FINISHED
Object Shprintze
Shprintze is one of Tevye the Dairyman’s younger daughters in Sholem Aleichem’s stories, known for her tragic love story and early death.
 E1205900 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: Shprintze | Statement: [Tevye the Dairyman, hasDaughter, Shprintze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shprintze
Context triple: [Tevye the Dairyman, hasDaughter, Shprintze]
  • A. Prinz
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • B. Nitzschka
    Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
  • C. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • D. Schirmitz
    Schirmitz is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Brinitz
    Brinitz is the fictional Eastern European shtetl that serves as the primary backdrop for S. Ansky’s Yiddish play "The Dybbuk."
  • 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: Shprintze
Triple: [Tevye the Dairyman, hasDaughter, Shprintze]
Generated description
Shprintze is one of Tevye the Dairyman’s younger daughters in Sholem Aleichem’s stories, known for her tragic love story and early death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shprintze
Target entity description: Shprintze is one of Tevye the Dairyman’s younger daughters in Sholem Aleichem’s stories, known for her tragic love story and early death.
  • A. Prinz
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • B. Nitzschka
    Nitzschka is a village and district of the town of Wurzen in the Free State of Saxony, Germany.
  • C. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • D. Schirmitz
    Schirmitz is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • E. Brinitz
    Brinitz is the fictional Eastern European shtetl that serves as the primary backdrop for S. Ansky’s Yiddish play "The Dybbuk."
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2d08108190bab1b3325923af1d completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021e42c6481909c7cb0c2ed63ab27 completed May 10, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a00223de3888190a0d5d81af1fa4de2 completed May 10, 2026, 6:14 a.m.
Created at: April 10, 2026, 5:06 a.m.