Triple

T9261650
Position Surface form Disambiguated ID Type / Status
Subject Irena Sendler E222592 entity
Predicate usedAlias P3799 FINISHED
Object Jolanta
Jolanta was the wartime alias used by Polish social worker and Holocaust rescuer Irena Sendler while she helped save Jewish children from the Warsaw Ghetto.
 E788200 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: Jolanta | Statement: [Irena Sendler, usedAlias, Jolanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jolanta
Context triple: [Irena Sendler, usedAlias, Jolanta]
  • A. Birutė
    Birutė was a 14th-century Lithuanian noblewoman, traditionally regarded as a priestess from Samogitia and best known as the wife of Grand Duke Kęstutis and the mother of Vytautas the Great.
  • B. Valtė
    Valtė is a Lithuanian feminine given name, used as a diminutive or affectionate form of the name Valter.
  • C. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • D. Ewelina
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • E. Égly
    Égly is a small commune in the Essonne department of the Île-de-France region in northern France.
  • 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: Jolanta
Triple: [Irena Sendler, usedAlias, Jolanta]
Generated description
Jolanta was the wartime alias used by Polish social worker and Holocaust rescuer Irena Sendler while she helped save Jewish children from the Warsaw Ghetto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jolanta
Target entity description: Jolanta was the wartime alias used by Polish social worker and Holocaust rescuer Irena Sendler while she helped save Jewish children from the Warsaw Ghetto.
  • A. Birutė
    Birutė was a 14th-century Lithuanian noblewoman, traditionally regarded as a priestess from Samogitia and best known as the wife of Grand Duke Kęstutis and the mother of Vytautas the Great.
  • B. Valtė
    Valtė is a Lithuanian feminine given name, used as a diminutive or affectionate form of the name Valter.
  • C. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • D. Ewelina
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • E. Égly
    Égly is a small commune in the Essonne department of the Île-de-France region in northern France.
  • 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.