Triple

T17888951
Position Surface form Disambiguated ID Type / Status
Subject Jana Fialová E447263 entity
Predicate spouse P13 FINISHED
Object Petr Fiala 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: Petr Fiala | Statement: [Jana Fialová, spouse, Petr Fiala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petr Fiala
Context triple: [Jana Fialová, spouse, Petr Fiala]
  • A. Petr Fiala chosen
    Petr Fiala is a Czech political scientist and politician who serves as the Prime Minister of the Czech Republic and leader of the Civic Democratic Party.
  • B. Tomáš Fiala
    Tomáš Fiala is a Czech businessman and investor, best known as the founder and CEO of the investment company Dragon Capital.
  • C. Václav Fiala
    Václav Fiala is a Czech sculptor and visual artist known for his monumental works and public installations.
  • D. Vladimír Fiala
    Vladimír Fiala is a Czech actor known for his roles in mid-20th-century Czechoslovak film and theater.
  • E. Pavel Baudiš
    Pavel Baudiš is a Czech software engineer and entrepreneur best known as a co-founder of the cybersecurity company Avast.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c15f8b08190ac8d134e32d62d18 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.