Triple

T10915157
Position Surface form Disambiguated ID Type / Status
Subject Wanda Zieleniewska E257801 entity
Predicate familyName P18 FINISHED
Object Zieleniewska
Zieleniewska is a Polish surname most notably borne by Wanda Zieleniewska.
 E896041 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: Zieleniewska | Statement: [Wanda Zieleniewska, familyName, Zieleniewska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zieleniewska
Context triple: [Wanda Zieleniewska, familyName, Zieleniewska]
  • 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. Krzyżanowska
    Krzyżanowska is the Polish maiden surname of Irena Sendler, the social worker who helped rescue thousands of Jewish children during the Holocaust.
  • D. Leszczyńska
    Leszczyńska is a Polish surname most famously borne by Marie Leszczyńska, Queen consort of France as the wife of King Louis XV.
  • 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: Zieleniewska
Triple: [Wanda Zieleniewska, familyName, Zieleniewska]
Generated description
Zieleniewska is a Polish surname most notably borne by Wanda Zieleniewska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zieleniewska
Target entity description: Zieleniewska is a Polish surname most notably borne by Wanda Zieleniewska.
  • 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. Krzyżanowska
    Krzyżanowska is the Polish maiden surname of Irena Sendler, the social worker who helped rescue thousands of Jewish children during the Holocaust.
  • D. Leszczyńska
    Leszczyńska is a Polish surname most famously borne by Marie Leszczyńska, Queen consort of France as the wife of King Louis XV.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77074c77c8190af91369eee11f1b7 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
NEDg Description generation batch_69e2453f6f008190847298f4006290f7 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e288b1d64c8190b31313634b706d0a completed April 17, 2026, 7:23 p.m.
Created at: April 8, 2026, 9:22 p.m.