Triple

T1147344
Position Surface form Disambiguated ID Type / Status
Subject Dana Vávrová E23595 entity
Predicate familyName P18 FINISHED
Object Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
 E138596 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: Vávrová | Statement: [Dana Vávrová, familyName, Vávrová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vávrová
Context triple: [Dana Vávrová, familyName, Vávrová]
  • A. Sezimovo Ústí
    Sezimovo Ústí is a town in the South Bohemian Region of the Czech Republic, historically noted as the place where Czechoslovak president Edvard Beneš spent his final years and died.
  • B. Dřevnice
    Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
  • C. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • D. Spišská Nová Ves
    Spišská Nová Ves is a town in eastern Slovakia known as a cultural and economic center of the Spiš region and as a gateway to the Slovak Paradise National Park.
  • E. Bytča
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • 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: Vávrová
Triple: [Dana Vávrová, familyName, Vávrová]
Generated description
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vávrová
Target entity description: Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • A. Sezimovo Ústí
    Sezimovo Ústí is a town in the South Bohemian Region of the Czech Republic, historically noted as the place where Czechoslovak president Edvard Beneš spent his final years and died.
  • B. Dřevnice
    Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
  • C. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • D. Spišská Nová Ves
    Spišská Nová Ves is a town in eastern Slovakia known as a cultural and economic center of the Spiš region and as a gateway to the Slovak Paradise National Park.
  • E. Bytča
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc7041248190893e4c655dbd0604 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f30222081909679902c6e0d4790 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fba00f0819086a0fffa090c5809 completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac807ead9c819088f7195aec87a538 completed March 7, 2026, 7:46 p.m.
Created at: March 1, 2026, 7:44 p.m.