Triple

T5439161
Position Surface form Disambiguated ID Type / Status
Subject Konrad Lorenz E122086 entity
Predicate spouse P13 FINISHED
Object Margarete Gebhardt
Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
 E520505 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: Margarete Gebhardt | Statement: [Konrad Lorenz, spouse, Margarete Gebhardt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margarete Gebhardt
Context triple: [Konrad Lorenz, spouse, Margarete Gebhardt]
  • A. Margarete Weber
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • B. Margarete Boden
    Margarete Boden was a German nurse who became known as the wife of Heinrich Himmler, one of the leading figures of Nazi Germany.
  • C. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • D. Margarethe Lindemann
    Margarethe Lindemann was the wife of Hans Luther and the mother of the Protestant Reformer Martin Luther.
  • E. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • 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: Margarete Gebhardt
Triple: [Konrad Lorenz, spouse, Margarete Gebhardt]
Generated description
Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margarete Gebhardt
Target entity description: Margarete Gebhardt was the wife of Austrian zoologist and Nobel Prize–winning ethologist Konrad Lorenz.
  • A. Margarete Weber
    Margarete Weber was the wife of Albert Speer, the Nazi Germany architect and armaments minister.
  • B. Margarete Boden
    Margarete Boden was a German nurse who became known as the wife of Heinrich Himmler, one of the leading figures of Nazi Germany.
  • C. Adelheid Wendt
    Adelheid Wendt was the mother of renowned German conductor and composer Wilhelm Furtwängler.
  • D. Margarethe Lindemann
    Margarethe Lindemann was the wife of Hans Luther and the mother of the Protestant Reformer Martin Luther.
  • E. Gjertrud Schnackenberg
    Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91be61dc819087f4a77bdc5ff382 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf412aa8bc81908d74589b2a38e5eb completed March 22, 2026, 1:08 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42b97d40819087a98c1cc58bb964 completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:07 p.m.