Triple

T11834984
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Dudek E281491 entity
Predicate givenName P17 FINISHED
Object Jerzy
Jerzy is a masculine given name of Slavic origin, particularly common in Poland as the equivalent of George.
 E951417 NE FINISHED

How this triple was built (4 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 Dudek, givenName, Jerzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jerzy
Context triple: [Jerzy Dudek, givenName, Jerzy]
  • A. Janusz
    Janusz is a masculine given name of Polish origin commonly used in Poland and among Polish communities.
  • B. Grzegorz
    Grzegorz is the Polish form of the given name Gregory, commonly used in Poland and among Polish-speaking communities.
  • C. Ryszard
    Ryszard is a masculine given name of Polish origin, commonly used in Poland and among Polish communities worldwide.
  • 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. Andrzej
    Andrzej is the Polish given name equivalent to Andrew, commonly used for men in Poland and among Polish communities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jerzy
Triple: [Jerzy Dudek, givenName, Jerzy]
Generated description
Jerzy is a masculine given name of Slavic origin, particularly common in Poland as the equivalent of George.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jerzy
Target entity description: Jerzy is a masculine given name of Slavic origin, particularly common in Poland as the equivalent of George.
  • A. Janusz
    Janusz is a masculine given name of Polish origin commonly used in Poland and among Polish communities.
  • B. Grzegorz
    Grzegorz is the Polish form of the given name Gregory, commonly used in Poland and among Polish-speaking communities.
  • C. Ryszard
    Ryszard is a masculine given name of Polish origin, commonly used in Poland and among Polish communities worldwide.
  • 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. Andrzej
    Andrzej is the Polish given name equivalent to Andrew, commonly used for men in Poland and among Polish communities.
  • F. None of above. chosen

Provenance (5 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62e7e408190998bebe346c82e89 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f28131f75c8190b379e65d5a258e7b completed April 29, 2026, 10:07 p.m.
NEDg Description generation batch_69f28a8e64ac8190ba7637fd00e024bd completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28d4e341c8190abc8febc3b26a617 completed April 29, 2026, 10:59 p.m.
Created at: April 8, 2026, 9:43 p.m.