Triple

T17135611
Position Surface form Disambiguated ID Type / Status
Subject Lány E415827 entity
Predicate significantPerson P643 FINISHED
Object Václav Klaus E96442 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 Klaus | Statement: [Lány, significantPerson, Václav Klaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Václav Klaus
Context triple: [Lány, significantPerson, Václav Klaus]
  • A. Václav Klaus chosen
    Václav Klaus is a Czech economist and conservative politician who served as both Prime Minister and later President of the Czech Republic.
  • B. Karel Schwarzenberg
    Karel Schwarzenberg is a Czech politician and aristocrat, known for serving as Minister of Foreign Affairs and as a prominent pro-democracy and pro-European public figure after the fall of communism.
  • C. Bohuslav Sobotka
    Bohuslav Sobotka is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the Czech Social Democratic Party.
  • D. Josef Koucký
    Josef Koucký was a Czech firearms designer best known for co-creating the influential CZ 75 semi-automatic pistol.
  • E. Vladimír Špidla
    Vladimír Špidla is a Czech politician who served as Prime Minister of the Czech Republic and later as a European Commissioner.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02dca8881908efd73741397a207 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014150d63081908a5614f85694e57a completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.