Triple

T2867659
Position Surface form Disambiguated ID Type / Status
Subject Albert Schweitzer E63477 entity
Predicate spouse P13 FINISHED
Object Helene Bresslau
Helene Bresslau was a German-born nurse and social worker best known as the wife and close collaborator of theologian and humanitarian Albert Schweitzer, with whom she helped establish and run the hospital in Lambaréné, Gabon.
 E306006 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: Helene Bresslau | Statement: [Albert Schweitzer, spouse, Helene Bresslau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helene Bresslau
Context triple: [Albert Schweitzer, spouse, Helene Bresslau]
  • A. Maryla Husyt Finkelstein
    Maryla Husyt Finkelstein was a Holocaust survivor and the mother of American political scientist and author Norman Finkelstein.
  • B. Edith Hahn
    Edith Hahn was the wife of German chemist and Nobel laureate Otto Hahn.
  • C. Truida Pohl
    Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
  • D. Herta Haas
    Herta Haas was a Slovenian communist and partisan who became known as the second wife of Yugoslav leader Josip Broz Tito.
  • E. Sophie de Bawr
    Sophie de Bawr was a French playwright, novelist, and educator of the late 18th and early 19th centuries, known for her literary works and contributions to women's education.
  • 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: Helene Bresslau
Triple: [Albert Schweitzer, spouse, Helene Bresslau]
Generated description
Helene Bresslau was a German-born nurse and social worker best known as the wife and close collaborator of theologian and humanitarian Albert Schweitzer, with whom she helped establish and run the hospital in Lambaréné, Gabon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helene Bresslau
Target entity description: Helene Bresslau was a German-born nurse and social worker best known as the wife and close collaborator of theologian and humanitarian Albert Schweitzer, with whom she helped establish and run the hospital in Lambaréné, Gabon.
  • A. Maryla Husyt Finkelstein
    Maryla Husyt Finkelstein was a Holocaust survivor and the mother of American political scientist and author Norman Finkelstein.
  • B. Edith Hahn
    Edith Hahn was the wife of German chemist and Nobel laureate Otto Hahn.
  • C. Truida Pohl
    Truida Pohl was the wife of prominent Afrikaans poet and intellectual N. P. van Wyk Louw.
  • D. Herta Haas
    Herta Haas was a Slovenian communist and partisan who became known as the second wife of Yugoslav leader Josip Broz Tito.
  • E. Sophie de Bawr
    Sophie de Bawr was a French playwright, novelist, and educator of the late 18th and early 19th centuries, known for her literary works and contributions to women's education.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfbcebcc81909a78a1787d823e3e completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da85930819092d19a5e712cfa18 completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b01e34639c8190b1c6e8a14cd31d96 completed March 10, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69b01f5a6784819089499926fb115d9c completed March 10, 2026, 1:40 p.m.
Created at: March 6, 2026, 10:02 p.m.