Triple

T21962495
Position Surface form Disambiguated ID Type / Status
Subject Anna Geislerová E542366 entity
Predicate name P16 FINISHED
Object Anna Geislerová NE NERFINISHED

How this triple was built (2 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: Anna Geislerová | Statement: [Anna Geislerová, name, Anna Geislerová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Geislerová
Context triple: [Anna Geislerová, name, Anna Geislerová]
  • A. Anna Geislerová chosen
    Anna Geislerová is a prominent Czech film and television actress known for her acclaimed performances in both domestic and international productions.
  • B. 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.
  • C. 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.
  • D. Josefina Čermáková
    Josefina Čermáková is a Czech individual known primarily in relation to her sister, Anna Čermáková.
  • E. Selma Ježková
    Selma Ježková is the tragic, near-blind Czech immigrant and factory worker portrayed by Björk in Lars von Trier’s musical drama film "Dancer in the Dark."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124572738819098cc669aafa53cc6 completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.