Triple

T7004873
Position Surface form Disambiguated ID Type / Status
Subject Lindauer E162426 entity
Predicate hasVariant P455 FINISHED
Object Lindauerová
Lindauerová is a Czech feminine surname form derived from the family name Lindauer.
E636286 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: Lindauerová | Statement: [Lindauer, hasVariant, Lindauerová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindauerová
Context triple: [Lindauer, hasVariant, Lindauerová]
  • A. Zora Jandová
    Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
  • B. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • C. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • D. Livia Klausová
    Livia Klausová is a Slovak-born Czech economist and diplomat who served as the First Lady of the Czech Republic and later as Czech ambassador to Slovakia.
  • E. Anna Geislerová
    Anna Geislerová is a prominent Czech film and television actress known for her acclaimed performances in both domestic and international productions.
  • 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: Lindauerová
Triple: [Lindauer, hasVariant, Lindauerová]
Generated description
Lindauerová is a Czech feminine surname form derived from the family name Lindauer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lindauerová
Target entity description: Lindauerová is a Czech feminine surname form derived from the family name Lindauer.
  • A. Zora Jandová
    Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
  • B. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • C. Milada Rádlová
    Milada Rádlová was the daughter of Emil Hácha, the third president of Czechoslovakia during the early years of World War II.
  • D. Livia Klausová
    Livia Klausová is a Slovak-born Czech economist and diplomat who served as the First Lady of the Czech Republic and later as Czech ambassador to Slovakia.
  • E. Anna Geislerová
    Anna Geislerová is a prominent Czech film and television actress known for her acclaimed performances in both domestic and international productions.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc14037c81908bb87250ef29be50 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7755c7c1481908eed49c72726195e completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c7774e453881909df31386a911cfa4 completed March 28, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c777d9c29c81908a816aed059ecc96 completed March 28, 2026, 6:40 a.m.
Created at: March 27, 2026, 2:33 p.m.