Triple

T23068054
Position Surface form Disambiguated ID Type / Status
Subject Tereza Vávrová E575106 entity
Predicate hasNameComponent P24447 FINISHED
Object Vávrová 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: Vávrová | Statement: [Tereza Vávrová, hasNameComponent, Vávrová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vávrová
Context triple: [Tereza Vávrová, hasNameComponent, Vávrová]
  • A. Vávrová chosen
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • B. Svitavy
    Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
  • C. Cervenka
    Cervenka is the surname of Exene Cervenka, the American singer, artist, and co-founder of the influential Los Angeles punk band X.
  • D. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • E. Hradčanská
    Hradčanská is a Prague Metro station on Line A located near Prague Castle in the Hradčany district.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a5aa4081909b3f0dc92877323d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.