Triple

T15127830
Position Surface form Disambiguated ID Type / Status
Subject Jaroslav Hašek E361337 entity
Predicate name P16 FINISHED
Object Jaroslav Hašek E361337 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: Jaroslav Hašek | Statement: [Jaroslav Hašek, name, Jaroslav Hašek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaroslav Hašek
Context triple: [Jaroslav Hašek, name, Jaroslav Hašek]
  • A. Jaroslav Hašek chosen
    Jaroslav Hašek was a Czech writer and satirist best known for his unfinished comic novel "The Good Soldier Švejk," a classic of anti-war literature.
  • B. Karel Hašek
    Karel Hašek is a Czech individual notable enough to be recognized as a bearer of the surname Hašek, likely for contributions in a public or professional field.
  • C. Miroslav Hašek
    Miroslav Hašek is a Czech ice hockey player known for his career as a forward in European professional leagues.
  • D. Antonín Baum
    Antonín Baum was a designer known for creating the richly ornamented interior of Prague’s Spanish Synagogue, a key example of Moorish Revival style in Central Europe.
  • E. Josef Čapek
    Josef Čapek was a Czech painter, writer, and pioneering modernist artist, also known for coining the word "robot" that his brother Karel Čapek popularized.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f865c08190ab8fd15c14d0c06c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.