Triple

T17225375
Position Surface form Disambiguated ID Type / Status
Subject Jan Stráský E418100 entity
Predicate name P16 FINISHED
Object Jan Stráský E418100 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: Jan Stráský | Statement: [Jan Stráský, name, Jan Stráský]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Stráský
Context triple: [Jan Stráský, name, Jan Stráský]
  • A. Jan Stráský chosen
    Jan Stráský was a Czech politician who served in top governmental roles during the final years of Czechoslovakia and later in the Czech Republic.
  • B. Alois Jirásek
    Alois Jirásek was a prominent Czech writer and playwright best known for his historical novels that helped shape modern Czech national identity.
  • C. Karel Kramář
    Karel Kramář was a Czech politician and statesman who played a key role in the creation of Czechoslovakia and became its first prime minister after World War I.
  • D. Jindřich Štyrský
    Jindřich Štyrský was a Czech avant-garde painter, poet, photographer, and theorist closely associated with surrealism and the Devětsil artistic group.
  • E. Jan Mareš
    Jan Mareš is a Czech academic who serves as the rector of Mendel University in Brno.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42de0a8dc819093d9c8fb4f80342c completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01793cfaf08190bff9a6efe01d5bea completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:38 a.m.