Triple

T5062679
Position Surface form Disambiguated ID Type / Status
Subject Edward Gurney E114060 entity
Predicate spouse P13 FINISHED
Object Natalie Gurney
Natalie Gurney is best known as the wife of American politician Edward Gurney, a former U.S. Senator from Florida.
E490312 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: Natalie Gurney | Statement: [Edward Gurney, spouse, Natalie Gurney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalie Gurney
Context triple: [Edward Gurney, spouse, Natalie Gurney]
  • A. Anna Gurney
    Anna Gurney was a 19th-century English scholar and philanthropist known for her work in Anglo-Saxon studies and her involvement in social reform.
  • B. Courtney Force
    Courtney Force is an American former professional drag racer in the NHRA Funny Car class and the daughter of legendary racer John Force.
  • C. Chrystal Macmillan
    Chrystal Macmillan was a pioneering Scottish feminist, suffragist, and pacifist who became one of the first female law graduates from the University of Edinburgh and a leading advocate for women's rights and international peace.
  • D. Dana Olsen
    Dana Olsen is an American screenwriter and actor best known for writing the dark comedy film "The 'Burbs."
  • E. Gale Halderman
    Gale Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
  • 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: Natalie Gurney
Triple: [Edward Gurney, spouse, Natalie Gurney]
Generated description
Natalie Gurney is best known as the wife of American politician Edward Gurney, a former U.S. Senator from Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Natalie Gurney
Target entity description: Natalie Gurney is best known as the wife of American politician Edward Gurney, a former U.S. Senator from Florida.
  • A. Anna Gurney
    Anna Gurney was a 19th-century English scholar and philanthropist known for her work in Anglo-Saxon studies and her involvement in social reform.
  • B. Courtney Force
    Courtney Force is an American former professional drag racer in the NHRA Funny Car class and the daughter of legendary racer John Force.
  • C. Chrystal Macmillan
    Chrystal Macmillan was a pioneering Scottish feminist, suffragist, and pacifist who became one of the first female law graduates from the University of Edinburgh and a leading advocate for women's rights and international peace.
  • D. Dana Olsen
    Dana Olsen is an American screenwriter and actor best known for writing the dark comedy film "The 'Burbs."
  • E. Gale Halderman
    Gale Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7475be3c819085cde8ec544c407e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea497fed0819098746fd8917f041c completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea5163c78819086d2424ee7b57890 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea577f4b0819084d579e4d4804947 completed March 21, 2026, 2:04 p.m.
Created at: March 20, 2026, 1:38 p.m.