Triple

T20960545
Position Surface form Disambiguated ID Type / Status
Subject Ivan Lendl E516229 entity
Predicate parent P120 FINISHED
Object Olga Lendlová
Olga Lendlová is the daughter of Czech-American tennis legend Ivan Lendl.
E1460127 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: Olga Lendlová | Statement: [Ivan Lendl, parent, Olga Lendlová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olga Lendlová
Context triple: [Ivan Lendl, parent, Olga Lendlová]
  • A. Olga Havlová
    Olga Havlová was a Czech dissident, human rights activist, and the first wife of Václav Havel, known for her charitable work and role in the country’s transition from communism.
  • B. Olga Schoberová
    Olga Schoberová is a Czech actress and sex symbol of the 1960s and 1970s, known for her roles in European films and her resemblance to Brigitte Bardot.
  • C. Olga Sobotková
    Olga Sobotková is known as the wife of former Czech Prime Minister Bohuslav Sobotka.
  • D. Dagmar Havlová
    Dagmar Havlová is a Czech actress and former First Lady of the Czech Republic, known for her film and theater work as well as her marriage to President Václav Havel.
  • E. Miroslava Vavrinec
    Miroslava Vavrinec is a former Swiss professional tennis player best known as the wife of tennis legend Roger Federer.
  • 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: Olga Lendlová
Triple: [Ivan Lendl, parent, Olga Lendlová]
Generated description
Olga Lendlová is the daughter of Czech-American tennis legend Ivan Lendl.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olga Lendlová
Target entity description: Olga Lendlová is the daughter of Czech-American tennis legend Ivan Lendl.
  • A. Olga Havlová
    Olga Havlová was a Czech dissident, human rights activist, and the first wife of Václav Havel, known for her charitable work and role in the country’s transition from communism.
  • B. Olga Schoberová
    Olga Schoberová is a Czech actress and sex symbol of the 1960s and 1970s, known for her roles in European films and her resemblance to Brigitte Bardot.
  • C. Olga Sobotková
    Olga Sobotková is known as the wife of former Czech Prime Minister Bohuslav Sobotka.
  • D. Dagmar Havlová
    Dagmar Havlová is a Czech actress and former First Lady of the Czech Republic, known for her film and theater work as well as her marriage to President Václav Havel.
  • E. Miroslava Vavrinec
    Miroslava Vavrinec is a former Swiss professional tennis player best known as the wife of tennis legend Roger Federer.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092faf16b0819097a3eeee0155a3dd completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a0930490b3481908e11810632652af6 completed May 17, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0930ac06b08190b319d9b779897977 completed May 17, 2026, 3:06 a.m.
Created at: April 16, 2026, 1:31 p.m.