Triple

T1369073
Position Surface form Disambiguated ID Type / Status
Subject Günter Grass E30068 entity
Predicate spouse P13 FINISHED
Object Ute Grunert
Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
E175007 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: Ute Grunert | Statement: [Günter Grass, spouse, Ute Grunert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ute Grunert
Context triple: [Günter Grass, spouse, Ute Grunert]
  • A. Maike Kohl-Richter
    Maike Kohl-Richter is a German academic and lawyer best known as the second wife and widow of former Chancellor Helmut Kohl.
  • B. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • C. Katharina Gsell
    Katharina Gsell was the wife of the eminent Swiss mathematician Leonhard Euler and the daughter of Swiss painter Georg Gsell.
  • D. Johanna Hiedler
    Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
  • E. Johanna Herting
    Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
  • 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: Ute Grunert
Triple: [Günter Grass, spouse, Ute Grunert]
Generated description
Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ute Grunert
Target entity description: Ute Grunert is known as the spouse of Nobel Prize–winning German author Günter Grass.
  • A. Maike Kohl-Richter
    Maike Kohl-Richter is a German academic and lawyer best known as the second wife and widow of former Chancellor Helmut Kohl.
  • B. Ursula Paetsch
    Ursula Paetsch was the wife of German chess grandmaster Erich Hartmann.
  • C. Katharina Gsell
    Katharina Gsell was the wife of the eminent Swiss mathematician Leonhard Euler and the daughter of Swiss painter Georg Gsell.
  • D. Johanna Hiedler
    Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
  • E. Johanna Herting
    Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d60fdc8190a9954b74ca2b2541 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293ab8508190ac321c898cd3df39 completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2d23e14881909fc5a4d89c0b74f4 completed March 8, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_69ad2ded1d548190b0c51c460a751017 completed March 8, 2026, 8:06 a.m.
Created at: March 1, 2026, 7:57 p.m.