Triple

T18474749
Position Surface form Disambiguated ID Type / Status
Subject Józef Teodor Konrad Korzeniowski E451400 entity
Predicate givenName P17 FINISHED
Object Józef 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: Józef | Statement: [Józef Teodor Konrad Korzeniowski, givenName, Józef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Józef
Context triple: [Józef Teodor Konrad Korzeniowski, givenName, Józef]
  • A. Józef chosen
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • B. Lucjan
    Lucjan is a masculine given name of Latin origin, commonly used in Poland and other Slavic countries.
  • C. Jędrzej
    Jędrzej is a Polish male given name, traditionally used as a regional or archaic form of the name Andrzej (Andrew).
  • D. Jerzy
    Jerzy is a masculine given name of Slavic origin, particularly common in Poland as the equivalent of George.
  • E. Janusz
    Janusz is a masculine given name of Polish origin commonly used in Poland and among Polish communities.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062387481909d4503fc963f9913 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 11:34 a.m.