Triple

T8631060
Position Surface form Disambiguated ID Type / Status
Subject Hašek E204402 entity
Predicate hasFeminineForm P1613 FINISHED
Object Hašková
Hašková is the feminine form of the Czech surname Hašek, commonly used for women in Czech-speaking contexts.
E746909 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: Hašková | Statement: [Hašek, hasFeminineForm, Hašková]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hašková
Context triple: [Hašek, hasFeminineForm, Hašková]
  • A. Zavacká
    Zavacká is the original Slovak family name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • B. Hodonín
    Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
  • C. Helena Dolny
    Helena Dolny is a South African academic, author, and former head of the Land Bank, known for her work in land reform and social justice.
  • D. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • E. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • 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: Hašková
Triple: [Hašek, hasFeminineForm, Hašková]
Generated description
Hašková is the feminine form of the Czech surname Hašek, commonly used for women in Czech-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hašková
Target entity description: Hašková is the feminine form of the Czech surname Hašek, commonly used for women in Czech-speaking contexts.
  • A. Zavacká
    Zavacká is the original Slovak family name of Julia Warhola, the mother of American pop artist Andy Warhol.
  • B. Hodonín
    Hodonín is a town in the South Moravian Region of the Czech Republic, notable as the birthplace of the first Czechoslovak president Tomáš Garrigue Masaryk.
  • C. Helena Dolny
    Helena Dolny is a South African academic, author, and former head of the Land Bank, known for her work in land reform and social justice.
  • D. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • E. Husinec
    Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47417e9c819099739ae901449308 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc0acf508190a090fb1edf9420d2 completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:27 p.m.