Triple

T11913625
Position Surface form Disambiguated ID Type / Status
Subject Ilona Duczynska E283455 entity
Predicate familyName P18 FINISHED
Object Duczynska
Duczynska is a Hungarian surname most notably associated with Ilona Duczynska, a revolutionary, engineer, and translator active in early 20th-century Europe.
 E953148 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: Duczynska | Statement: [Ilona Duczynska, familyName, Duczynska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duczynska
Context triple: [Ilona Duczynska, familyName, Duczynska]
  • A. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • B. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • C. Leszczyńska
    Leszczyńska is a Polish surname most famously borne by Marie Leszczyńska, Queen consort of France as the wife of King Louis XV.
  • D. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • E. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • 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: Duczynska
Triple: [Ilona Duczynska, familyName, Duczynska]
Generated description
Duczynska is a Hungarian surname most notably associated with Ilona Duczynska, a revolutionary, engineer, and translator active in early 20th-century Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duczynska
Target entity description: Duczynska is a Hungarian surname most notably associated with Ilona Duczynska, a revolutionary, engineer, and translator active in early 20th-century Europe.
  • A. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • B. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • C. Leszczyńska
    Leszczyńska is a Polish surname most famously borne by Marie Leszczyńska, Queen consort of France as the wife of King Louis XV.
  • D. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • E. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e52a2bc08190b80cc6ccf5779d7c completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4186938548190b5ae10e111aece9a completed May 1, 2026, 3:05 a.m.
NEDg Description generation batch_69f41f1e746c81909f78f0e0bf173c7b completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42291f3608190ab079f939d34cf15 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.