Triple

T6573268
Position Surface form Disambiguated ID Type / Status
Subject Jozef Gabčík E155495 entity
Predicate givenName P17 FINISHED
Object Jozef E66212 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: Jozef | Statement: [Jozef Gabčík, givenName, Jozef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jozef
Context triple: [Jozef Gabčík, givenName, Jozef]
  • A. Jozef chosen
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. János
    János is the Hungarian form of the given name John, commonly used in Hungary and among Hungarian speakers.
  • C. Jozef Gabčík
    Jozef Gabčík was a Slovak soldier and resistance fighter in World War II, best known as one of the two Czechoslovak paratroopers who carried out the 1942 assassination of high-ranking Nazi official Reinhard Heydrich.
  • D. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • E. Štefan
    Štefan is the Slovak form of the given name Stephen, commonly used in Slovakia and other Slovak-speaking communities.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae6faa3c81908f1777d616cece46 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4275eec8190ba52fa4fb1bc64db completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:53 p.m.