Triple

T5793319
Position Surface form Disambiguated ID Type / Status
Subject Bowie Kuhn E128446 entity
Predicate spouse P13 FINISHED
Object Luisa Gomez Kuhn
Luisa Gomez Kuhn was the wife of former Major League Baseball commissioner Bowie Kuhn and a prominent figure in baseball’s social and charitable circles during his tenure.
 E546468 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: Luisa Gomez Kuhn | Statement: [Bowie Kuhn, spouse, Luisa Gomez Kuhn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luisa Gomez Kuhn
Context triple: [Bowie Kuhn, spouse, Luisa Gomez Kuhn]
  • A. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • B. Albertina Rasch
    Albertina Rasch was an influential early 20th-century choreographer and dance director known for her work on Broadway and in Hollywood films.
  • C. Irene Schönbein
    Irene Schönbein was the wife of Nazi physician and Auschwitz camp doctor Josef Mengele.
  • D. Lorenza Otto
    Lorenza Otto is the daughter of Australian actress Miranda Otto.
  • E. Alicia Esther Lardé
    Alicia Esther Lardé was a Salvadoran-American physicist and computer scientist best known as the wife of mathematician John Nash, whose life was portrayed in the film "A Beautiful Mind."
  • 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: Luisa Gomez Kuhn
Triple: [Bowie Kuhn, spouse, Luisa Gomez Kuhn]
Generated description
Luisa Gomez Kuhn was the wife of former Major League Baseball commissioner Bowie Kuhn and a prominent figure in baseball’s social and charitable circles during his tenure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luisa Gomez Kuhn
Target entity description: Luisa Gomez Kuhn was the wife of former Major League Baseball commissioner Bowie Kuhn and a prominent figure in baseball’s social and charitable circles during his tenure.
  • A. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • B. Albertina Rasch
    Albertina Rasch was an influential early 20th-century choreographer and dance director known for her work on Broadway and in Hollywood films.
  • C. Irene Schönbein
    Irene Schönbein was the wife of Nazi physician and Auschwitz camp doctor Josef Mengele.
  • D. Lorenza Otto
    Lorenza Otto is the daughter of Australian actress Miranda Otto.
  • E. Alicia Esther Lardé
    Alicia Esther Lardé was a Salvadoran-American physicist and computer scientist best known as the wife of mathematician John Nash, whose life was portrayed in the film "A Beautiful Mind."
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a905da88190bc710c6743af2d83 completed March 22, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09824c7f0819095565e0f29b3a508 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098a0325c81909a1326b94e40ed50 completed March 23, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69c09943deec819085992c4e44050a34 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:51 p.m.