Triple

T5718029
Position Surface form Disambiguated ID Type / Status
Subject Joshua E126068 entity
Predicate hasCognate P2525 FINISHED
Object Jozef (related form) 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 (related form) | Statement: [Joshua, hasCognate, Jozef (related form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jozef (related form)
Context triple: [Joshua, hasCognate, Jozef (related form)]
  • 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. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • C. Josef David
    Josef David was the husband of Ottla Kafka, the youngest sister of writer Franz Kafka, and a member of the Prague Jewish community in the early 20th century.
  • D. János
    János is the Hungarian form of the given name John, commonly used in Hungary and among Hungarian speakers.
  • E. Iosifovich
    Iosifovich is a Russian patronymic meaning "son of Iosif (Joseph)," commonly used as a middle name in Russian naming conventions.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e084cc81909a652f7c10d32c32 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a7af5788190827ff8050eb6416d completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.