Triple

T11317656
Position Surface form Disambiguated ID Type / Status
Subject Anatevka E268006 entity
Predicate inhabitantInFiction P6481 FINISHED
Object Yente
Yente is the village matchmaker in the musical "Fiddler on the Roof," known for her gossiping and meddling in the romantic lives of Anatevka’s residents.
 E919757 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: Yente | Statement: [Anatevka, inhabitantInFiction, Yente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yente
Context triple: [Anatevka, inhabitantInFiction, Yente]
  • A. Hodel
    Hodel is a central character in the musical "Fiddler on the Roof," known as one of Tevye’s daughters who challenges tradition through her love and political idealism.
  • B. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • C. Yutz
    Yutz is a commune in northeastern France situated in the Moselle department, known for its residential character and proximity to the city of Thionville.
  • D. Arabella
    Arabella is a feminine given name of Latin origin, often associated with elegance and used in various English-speaking cultures.
  • E. Arabella
    Arabella is a romantic opera in three acts by Richard Strauss, first performed in 1933, known for its lush orchestration and exploration of love and social expectations in 19th-century Vienna.
  • 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: Yente
Triple: [Anatevka, inhabitantInFiction, Yente]
Generated description
Yente is the village matchmaker in the musical "Fiddler on the Roof," known for her gossiping and meddling in the romantic lives of Anatevka’s residents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yente
Target entity description: Yente is the village matchmaker in the musical "Fiddler on the Roof," known for her gossiping and meddling in the romantic lives of Anatevka’s residents.
  • A. Hodel
    Hodel is a central character in the musical "Fiddler on the Roof," known as one of Tevye’s daughters who challenges tradition through her love and political idealism.
  • B. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • C. Yutz
    Yutz is a commune in northeastern France situated in the Moselle department, known for its residential character and proximity to the city of Thionville.
  • D. Arabella
    Arabella is a feminine given name of Latin origin, often associated with elegance and used in various English-speaking cultures.
  • E. Arabella
    Arabella is a romantic opera in three acts by Richard Strauss, first performed in 1933, known for its lush orchestration and exploration of love and social expectations in 19th-century Vienna.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542f294988190bb456326e4184dcb completed April 19, 2026, 9:02 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:32 p.m.