Triple

T2422986
Position Surface form Disambiguated ID Type / Status
Subject Lennox Cato E53459 entity
Predicate spouse P13 FINISHED
Object Susan Cato
Susan Cato is known as the wife of British antiques dealer and television personality Lennox Cato.
E289462 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: Susan Cato | Statement: [Lennox Cato, spouse, Susan Cato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Cato
Context triple: [Lennox Cato, spouse, Susan Cato]
  • A. Catherine Macmillan
    Catherine Macmillan was the daughter of former British Prime Minister Harold Macmillan and the wife of Conservative politician Julian Amery, placing her at the center of mid-20th-century British political life.
  • B. Catharine Jones
    Catharine Jones was the wife of prominent early 19th-century New York politician and governor DeWitt Clinton.
  • C. Catherine Compton
    Catherine Compton was a British aristocrat and the mother of Spencer Perceval, the only British prime minister to have been assassinated.
  • D. Katharine Tait
    Katharine Tait is a British writer and teacher best known as the daughter of philosopher Bertrand Russell and for her memoir about growing up in his unconventional, secular household.
  • E. Ann Sadler
    Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
  • 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: Susan Cato
Triple: [Lennox Cato, spouse, Susan Cato]
Generated description
Susan Cato is known as the wife of British antiques dealer and television personality Lennox Cato.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susan Cato
Target entity description: Susan Cato is known as the wife of British antiques dealer and television personality Lennox Cato.
  • A. Catherine Macmillan
    Catherine Macmillan was the daughter of former British Prime Minister Harold Macmillan and the wife of Conservative politician Julian Amery, placing her at the center of mid-20th-century British political life.
  • B. Catharine Jones
    Catharine Jones was the wife of prominent early 19th-century New York politician and governor DeWitt Clinton.
  • C. Catherine Compton
    Catherine Compton was a British aristocrat and the mother of Spencer Perceval, the only British prime minister to have been assassinated.
  • D. Katharine Tait
    Katharine Tait is a British writer and teacher best known as the daughter of philosopher Bertrand Russell and for her memoir about growing up in his unconventional, secular household.
  • E. Ann Sadler
    Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc972934481909e05bd6f31162f9d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf32014c8190aa3cfea010c3bb39 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afafbecd2c819091b503c928e3c7e7 completed March 10, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69afb06e79a881908047a076cac68064 completed March 10, 2026, 5:47 a.m.
Created at: March 6, 2026, 9:42 p.m.