Triple

T19527323
Position Surface form Disambiguated ID Type / Status
Subject Jim Bouton E488559 entity
Predicate spouse P13 FINISHED
Object Paula Kurman
Paula Kurman is an American psychologist and author best known as the longtime wife and collaborator of former Major League Baseball pitcher and writer Jim Bouton.
E1474226 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: Paula Kurman | Statement: [Jim Bouton, spouse, Paula Kurman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paula Kurman
Context triple: [Jim Bouton, spouse, Paula Kurman]
  • A. Reva Kolodney
    Reva Kolodney is known as the former spouse of American real estate developer and philanthropist A. Alfred Taubman.
  • B. Marla Frumkin
    Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
  • C. Paula Mazur
    Paula Mazur is a film producer best known for adapting literary works, including the screen version of "The Guernsey Literary and Potato Peel Pie Society."
  • D. Jane Weinzapfel
    Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
  • E. Emma Kurtzman
    Emma Kurtzman is the emotionally guarded young doctor portrayed by Natalie Portman in the romantic comedy film "No Strings Attached."
  • 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: Paula Kurman
Triple: [Jim Bouton, spouse, Paula Kurman]
Generated description
Paula Kurman is an American psychologist and author best known as the longtime wife and collaborator of former Major League Baseball pitcher and writer Jim Bouton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paula Kurman
Target entity description: Paula Kurman is an American psychologist and author best known as the longtime wife and collaborator of former Major League Baseball pitcher and writer Jim Bouton.
  • A. Reva Kolodney
    Reva Kolodney is known as the former spouse of American real estate developer and philanthropist A. Alfred Taubman.
  • B. Marla Frumkin
    Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
  • C. Paula Mazur
    Paula Mazur is a film producer best known for adapting literary works, including the screen version of "The Guernsey Literary and Potato Peel Pie Society."
  • D. Jane Weinzapfel
    Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
  • E. Emma Kurtzman
    Emma Kurtzman is the emotionally guarded young doctor portrayed by Natalie Portman in the romantic comedy film "No Strings Attached."
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363c2660819093a6b9a444ca0ad4 completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a098fdc7d208190abc6bfc0b0c1db22 completed May 17, 2026, 9:52 a.m.
NEDg Description generation batch_6a0991348c448190901e34167e40df69 completed May 17, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0991aaae5c8190b7ada4d60f2d875a completed May 17, 2026, 10 a.m.
Created at: April 10, 2026, 1:41 p.m.