Triple

T9261629
Position Surface form Disambiguated ID Type / Status
Subject Irena Sendler E222592 entity
Predicate familyName P18 FINISHED
Object Sendler
Sendler is the surname of Irena Sendler, the Polish social worker renowned for rescuing thousands of Jewish children from the Warsaw Ghetto during World War II.
 E788197 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: Sendler | Statement: [Irena Sendler, familyName, Sendler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sendler
Context triple: [Irena Sendler, familyName, Sendler]
  • A. Shipman
    Shipman is a surname most infamously associated with Harold Shipman, the English general practitioner who became one of history’s most prolific serial killers.
  • B. Senger
    Senger is a variant form of the surname Singer, commonly found in German-speaking regions.
  • C. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • D. Matzelsberger
    Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
  • E. Gunther
    Gunther is an Austrian professional wrestler known for his hard-hitting style and dominant championship reigns in WWE.
  • 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: Sendler
Triple: [Irena Sendler, familyName, Sendler]
Generated description
Sendler is the surname of Irena Sendler, the Polish social worker renowned for rescuing thousands of Jewish children from the Warsaw Ghetto during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sendler
Target entity description: Sendler is the surname of Irena Sendler, the Polish social worker renowned for rescuing thousands of Jewish children from the Warsaw Ghetto during World War II.
  • A. Shipman
    Shipman is a surname most infamously associated with Harold Shipman, the English general practitioner who became one of history’s most prolific serial killers.
  • B. Senger
    Senger is a variant form of the surname Singer, commonly found in German-speaking regions.
  • C. Bader
    Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
  • D. Matzelsberger
    Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
  • E. Gunther
    Gunther is an Austrian professional wrestler known for his hard-hitting style and dominant championship reigns in WWE.
  • 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.