Triple

T18307151
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Kaczmarz E438515 entity
Predicate hasGivenName P17 FINISHED
Object Jerzy NE NERFINISHED

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: Jerzy | Statement: [Jerzy Kaczmarz, hasGivenName, Jerzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerzy
Context triple: [Jerzy Kaczmarz, hasGivenName, Jerzy]
  • A. Jerzy chosen
    Jerzy is a masculine given name of Slavic origin, particularly common in Poland as the equivalent of George.
  • B. Janusz
    Janusz is a masculine given name of Polish origin commonly used in Poland and among Polish communities.
  • C. Grzegorz
    Grzegorz is the Polish form of the given name Gregory, commonly used in Poland and among Polish-speaking communities.
  • D. Ryszard
    Ryszard is a masculine given name of Polish origin, commonly used in Poland and among Polish communities worldwide.
  • E. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.