Triple

T6352014
Position Surface form Disambiguated ID Type / Status
Subject Gerhard Domagk E142893 entity
Predicate spouse P13 FINISHED
Object Gertrud Strube
Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
E589335 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: Gertrud Strube | Statement: [Gerhard Domagk, spouse, Gertrud Strube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gertrud Strube
Context triple: [Gerhard Domagk, spouse, Gertrud Strube]
  • A. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • B. Margarete Gebhardt
    Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
  • C. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • D. Margarete Weber
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • E. Astrid Eckert
    Astrid Eckert is a historian and academic known for her work on modern German history, memory culture, and the legacy of the Cold War.
  • 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: Gertrud Strube
Triple: [Gerhard Domagk, spouse, Gertrud Strube]
Generated description
Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gertrud Strube
Target entity description: Gertrud Strube was the wife of German pathologist and Nobel laureate Gerhard Domagk, known for his pioneering work in antibacterial chemotherapy.
  • A. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • B. Margarete Gebhardt
    Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
  • C. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • D. Margarete Weber
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • E. Astrid Eckert
    Astrid Eckert is a historian and academic known for her work on modern German history, memory culture, and the legacy of the Cold War.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dd3c74819085a164b750094c46 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d52cbd881908ac36eca108f3194 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c631ef5df8819094e0faf89cbe6971 completed March 27, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69c6327c63308190be17cb1bf07259ce completed March 27, 2026, 7:32 a.m.
Created at: March 22, 2026, 4:31 p.m.