Triple

T3649860
Position Surface form Disambiguated ID Type / Status
Subject Joseph E77392 entity
Predicate hasVariant P455 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: [Joseph, hasVariant, Jozef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jozef
Context triple: [Joseph, hasVariant, 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. Timotej
    Timotej is a masculine given name, common in Slavic countries, that is equivalent to Timothy.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488394aa48190b91985aa912cf733 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.