Triple

T6416672
Position Surface form Disambiguated ID Type / Status
Subject Elmer Bernstein E127845 entity
Predicate spouse P13 FINISHED
Object Pearl Glusman
Pearl Glusman was the wife of acclaimed American film composer Elmer Bernstein.
 E647905 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: Pearl Glusman | Statement: [Elmer Bernstein, spouse, Pearl Glusman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pearl Glusman
Context triple: [Elmer Bernstein, spouse, Pearl Glusman]
  • A. Patricia Luisa Oakes
    Patricia Luisa Oakes was a British socialite best known as the first wife of Franklin D. Roosevelt Jr., son of the 32nd U.S. president.
  • B. Harriet Bussey
    Harriet Bussey was the wife of American novelist and white supremacist propagandist Thomas Dixon Jr., known for her association with his controversial literary and political career.
  • C. Jane Belson
    Jane Belson was a British barrister best known as the wife of author Douglas Adams.
  • D. Sylvia Weis
    Sylvia Weis is a central character in the science-fiction film "In Time," portrayed as a wealthy young woman who becomes an ally and love interest to the protagonist in his fight against a time-based class system.
  • E. Mary Sue Coleman
    Mary Sue Coleman is an American chemist and academic leader best known for serving as president of the University of Michigan and the University of Iowa and for her influential role in higher education policy.
  • 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: Pearl Glusman
Triple: [Elmer Bernstein, spouse, Pearl Glusman]
Generated description
Pearl Glusman was the wife of acclaimed American film composer Elmer Bernstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pearl Glusman
Target entity description: Pearl Glusman was the wife of acclaimed American film composer Elmer Bernstein.
  • A. Patricia Luisa Oakes
    Patricia Luisa Oakes was a British socialite best known as the first wife of Franklin D. Roosevelt Jr., son of the 32nd U.S. president.
  • B. Harriet Bussey
    Harriet Bussey was the wife of American novelist and white supremacist propagandist Thomas Dixon Jr., known for her association with his controversial literary and political career.
  • C. Jane Belson
    Jane Belson was a British barrister best known as the wife of author Douglas Adams.
  • D. Sylvia Weis
    Sylvia Weis is a central character in the science-fiction film "In Time," portrayed as a wealthy young woman who becomes an ally and love interest to the protagonist in his fight against a time-based class system.
  • E. Mary Sue Coleman
    Mary Sue Coleman is an American chemist and academic leader best known for serving as president of the University of Michigan and the University of Iowa and for her influential role in higher education policy.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ea06b08190901e0c0a18fd5170 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf66c0308190a09736eafe61c966 completed March 28, 2026, 11:45 a.m.
NEDg Description generation batch_69c7bff630d88190a8c8d4194a1fe763 completed March 28, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c7c05fd088819083df4c7167216ca2 completed March 28, 2026, 11:49 a.m.
Created at: March 22, 2026, 4:42 p.m.