Triple

T11041390
Position Surface form Disambiguated ID Type / Status
Subject Václav Nosek E261025 entity
Predicate givenName P17 FINISHED
Object Václav E440805 NE FINISHED

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: Václav | Statement: [Václav Nosek, givenName, Václav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Václav
Context triple: [Václav Nosek, givenName, Václav]
  • A. Václav chosen
    Václav is a common Czech male given name, historically borne by several notable figures including saints, nobles, and modern politicians.
  • B. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. Emil Hácha
    Emil Hácha was a Czech lawyer and politician who served as the last president of Czechoslovakia before and during its dismemberment under Nazi pressure.
  • D. Gustáv
    Gustáv is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • E. Václav Nechvíle
    Václav Nechvíle was a Czech astronomer known for his role in identifying and studying the Alpha Capricornids meteor shower.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7980050948190ae7b187da5b776ca completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9e525508190bf3a728683eeec79 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.