Triple

T9261630
Position Surface form Disambiguated ID Type / Status
Subject Irena Sendler E222592 entity
Predicate familyName P18 FINISHED
Object Krzyżanowska
Krzyżanowska is the Polish maiden surname of Irena Sendler, the social worker who helped rescue thousands of Jewish children during the Holocaust.
 E788198 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: Krzyżanowska | Statement: [Irena Sendler, familyName, Krzyżanowska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krzyżanowska
Context triple: [Irena Sendler, familyName, Krzyżanowska]
  • A. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • B. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • C. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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: Krzyżanowska
Triple: [Irena Sendler, familyName, Krzyżanowska]
Generated description
Krzyżanowska is the Polish maiden surname of Irena Sendler, the social worker who helped rescue thousands of Jewish children during the Holocaust.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krzyżanowska
Target entity description: Krzyżanowska is the Polish maiden surname of Irena Sendler, the social worker who helped rescue thousands of Jewish children during the Holocaust.
  • A. Wasilewska
    Wasilewska is a Polish surname most notably associated with Wanda Wasilewska, a 20th-century Polish and Soviet writer and communist activist.
  • B. Komorowska
    Komorowska is a Polish surname borne by various notable individuals in Poland.
  • C. Walewska
    Walewska is a Polish surname most famously associated with Maria Walewska, a noblewoman known as the mistress of Napoleon Bonaparte.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07175be881908a917573ec9b9081 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0526c48190aae93a70cfe5562c completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09d6cc45c8190b6cb44212ccfcbc8 completed April 4, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2069048190ac22b738fa324771 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:32 p.m.