Triple

T19648875
Position Surface form Disambiguated ID Type / Status
Subject Bohuslav Sobotka E471753 entity
Predicate servedInGovernmentOf P8523 FINISHED
Object Jiří Paroubek 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: Jiří Paroubek | Statement: [Bohuslav Sobotka, servedInGovernmentOf, Jiří Paroubek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiří Paroubek
Context triple: [Bohuslav Sobotka, servedInGovernmentOf, Jiří Paroubek]
  • A. Jiří Paroubek chosen
    Jiří Paroubek is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the country’s social democratic movement.
  • B. Jiří Rusnok
    Jiří Rusnok is a Czech economist and politician who served as Prime Minister of the Czech Republic and later as governor of the Czech National Bank.
  • C. Jiří Lábus
    Jiří Lábus is a renowned Czech actor and comedian known for his work in theater, film, television, and voice acting.
  • D. Jiří Jílek
    Jiří Jílek is a pseudonym of Jiří Orten, a notable Czech poet of the early 20th century known for his lyrical and existential verse.
  • E. Viktor Pospíšil
    Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641278e9881909bdf8d440ef6eba4 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.