Triple

T14486189
Position Surface form Disambiguated ID Type / Status
Subject Alois Jirásek E359233 entity
Predicate familyName P18 FINISHED
Object Jirásek E359233 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: Jirásek | Statement: [Alois Jirásek, familyName, Jirásek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jirásek
Context triple: [Alois Jirásek, familyName, Jirásek]
  • A. Jiří
    Jiří is a common Czech male given name, equivalent to George in English.
  • B. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • C. Jáchym
    Jáchym is a masculine given name of Slavic origin, commonly used in Czech and Slovak cultures and related to the name Joachim.
  • D. Zdeněk
    Zdeněk is a Czech given name commonly used for males, equivalent to the English name Sidney or Dennis in some contexts.
  • E. Alois Jirásek chosen
    Alois Jirásek was a prominent Czech writer and playwright best known for his historical novels that helped shape modern Czech national identity.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aaaf74481909aeda3627bea39a9 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:20 a.m.