Triple

T4857707
Position Surface form Disambiguated ID Type / Status
Subject Aleksandra Dulkiewicz E108576 entity
Predicate familyName P18 FINISHED
Object Dulkiewicz
Dulkiewicz is a Polish surname most prominently associated with Aleksandra Dulkiewicz, the mayor of Gdańsk.
E474680 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: Dulkiewicz | Statement: [Aleksandra Dulkiewicz, familyName, Dulkiewicz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dulkiewicz
Context triple: [Aleksandra Dulkiewicz, familyName, Dulkiewicz]
  • A. Radkiewicz
    Radkiewicz is a Polish surname most notably associated with Stanisław Radkiewicz, a prominent communist-era politician and security official in Poland.
  • B. Zawisza
    Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
  • C. Kazimierz
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • D. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • E. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • 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: Dulkiewicz
Triple: [Aleksandra Dulkiewicz, familyName, Dulkiewicz]
Generated description
Dulkiewicz is a Polish surname most prominently associated with Aleksandra Dulkiewicz, the mayor of Gdańsk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dulkiewicz
Target entity description: Dulkiewicz is a Polish surname most prominently associated with Aleksandra Dulkiewicz, the mayor of Gdańsk.
  • A. Radkiewicz
    Radkiewicz is a Polish surname most notably associated with Stanisław Radkiewicz, a prominent communist-era politician and security official in Poland.
  • B. Zawisza
    Zawisza is a Polish surname historically associated with several notable figures, including nobles, politicians, and cultural personalities.
  • C. Kazimierz
    Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
  • D. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • E. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3f24688190b2f2b79bcde96973 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf05d7c8190ac6e1b9e93b5256f completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5f98d4d481908eedf03569d38642 completed March 21, 2026, 9:06 a.m.
NED2 Entity disambiguation (via description) batch_69be6044d31081908384ed9da8c6b707 completed March 21, 2026, 9:09 a.m.
Created at: March 20, 2026, 1:26 p.m.