Triple

T6199659
Position Surface form Disambiguated ID Type / Status
Subject Vávrová E138596 entity
Predicate hasNotableBearer P458 FINISHED
Object Tereza Vávrová
Tereza Vávrová is a notable bearer of the Czech surname Vávrová, recognized enough to be specifically cited in reference to the name.
 E575106 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: Tereza Vávrová | Statement: [Vávrová, hasNotableBearer, Tereza Vávrová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tereza Vávrová
Context triple: [Vávrová, hasNotableBearer, Tereza Vávrová]
  • A. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • B. Helena Davidová
    Helena Davidová is a member of Franz Kafka’s extended family, known as the daughter of his sister Ottla Kafka.
  • C. Marie Jana Körbelová
    Marie Jana Körbelová is the birth name of Madeleine Albright, the first female United States Secretary of State and a prominent American diplomat.
  • D. Zora Rozsypalová
    Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
  • E. Alice Masaryková
    Alice Masaryková was a Czech sociologist, politician, and humanitarian, notable as the daughter of Czechoslovakia’s first president and a leading figure in the country’s early social welfare and Red Cross movements.
  • 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: Tereza Vávrová
Triple: [Vávrová, hasNotableBearer, Tereza Vávrová]
Generated description
Tereza Vávrová is a notable bearer of the Czech surname Vávrová, recognized enough to be specifically cited in reference to the name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tereza Vávrová
Target entity description: Tereza Vávrová is a notable bearer of the Czech surname Vávrová, recognized enough to be specifically cited in reference to the name.
  • A. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • B. Helena Davidová
    Helena Davidová is a member of Franz Kafka’s extended family, known as the daughter of his sister Ottla Kafka.
  • C. Marie Jana Körbelová
    Marie Jana Körbelová is the birth name of Madeleine Albright, the first female United States Secretary of State and a prominent American diplomat.
  • D. Zora Rozsypalová
    Zora Rozsypalová was a Czech actress known for her work in theater and film during the mid-20th century.
  • E. Alice Masaryková
    Alice Masaryková was a Czech sociologist, politician, and humanitarian, notable as the daughter of Czechoslovakia’s first president and a leading figure in the country’s early social welfare and Red Cross movements.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06253534c8190aafe70a6cf5a67ec completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f302984819089c6a17dda476a4b completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1c9a4bdd481909f836be4167befea completed March 23, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69c1ca257cb88190bee32a8ecb15c02b completed March 23, 2026, 11:17 p.m.
Created at: March 22, 2026, 4:20 p.m.