Triple

T22556071
Position Surface form Disambiguated ID Type / Status
Subject Christopher Monck, 2nd Duke of Albemarle E557685 entity
Predicate spouse P13 FINISHED
Object Elizabeth Cavendish, Duchess of Albemarle
Elizabeth Cavendish, Duchess of Albemarle, was an English noblewoman of the late 17th century, noted as the heiress of the Cavendish fortune and for her later remarriage to the Duke of Montagu.
E1542661 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: Elizabeth Cavendish, Duchess of Albemarle | Statement: [Christopher Monck, 2nd Duke of Albemarle, spouse, Elizabeth Cavendish, Duchess of Albemarle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Cavendish, Duchess of Albemarle
Context triple: [Christopher Monck, 2nd Duke of Albemarle, spouse, Elizabeth Cavendish, Duchess of Albemarle]
  • A. Frances Cavendish, Duchess of Newcastle-upon-Tyne
    Frances Cavendish, Duchess of Newcastle-upon-Tyne, was an English noblewoman of the Cavendish family who became a prominent duchess through her marriage into the Newcastle peerage.
  • B. Charlotte Cavendish, Duchess of Devonshire
    Charlotte Cavendish, Duchess of Devonshire, was an 18th-century British aristocrat and political hostess who, through her marriage into the influential Cavendish family, occupied a prominent position in Georgian high society.
  • C. Elizabeth Stuart, Countess of Hardwicke
    Elizabeth Stuart, Countess of Hardwicke was a British aristocrat of the 19th century, notable as the mother of Charlotte Canning, a prominent vicereine of India.
  • D. Cecilia Cavendish-Bentinck
    Cecilia Cavendish-Bentinck was a British aristocrat best known as the mother of Queen Elizabeth The Queen Mother and grandmother of Queen Elizabeth II.
  • E. Duchess of Grafton
    The Duchess of Grafton is a British noble title traditionally held by the wife of the Duke of Grafton, a peerage created in the late 17th century for an illegitimate son of King Charles II.
  • 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: Elizabeth Cavendish, Duchess of Albemarle
Triple: [Christopher Monck, 2nd Duke of Albemarle, spouse, Elizabeth Cavendish, Duchess of Albemarle]
Generated description
Elizabeth Cavendish, Duchess of Albemarle, was an English noblewoman of the late 17th century, noted as the heiress of the Cavendish fortune and for her later remarriage to the Duke of Montagu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elizabeth Cavendish, Duchess of Albemarle
Target entity description: Elizabeth Cavendish, Duchess of Albemarle, was an English noblewoman of the late 17th century, noted as the heiress of the Cavendish fortune and for her later remarriage to the Duke of Montagu.
  • A. Frances Cavendish, Duchess of Newcastle-upon-Tyne
    Frances Cavendish, Duchess of Newcastle-upon-Tyne, was an English noblewoman of the Cavendish family who became a prominent duchess through her marriage into the Newcastle peerage.
  • B. Charlotte Cavendish, Duchess of Devonshire
    Charlotte Cavendish, Duchess of Devonshire, was an 18th-century British aristocrat and political hostess who, through her marriage into the influential Cavendish family, occupied a prominent position in Georgian high society.
  • C. Elizabeth Stuart, Countess of Hardwicke
    Elizabeth Stuart, Countess of Hardwicke was a British aristocrat of the 19th century, notable as the mother of Charlotte Canning, a prominent vicereine of India.
  • D. Cecilia Cavendish-Bentinck
    Cecilia Cavendish-Bentinck was a British aristocrat best known as the mother of Queen Elizabeth The Queen Mother and grandmother of Queen Elizabeth II.
  • E. Duchess of Grafton
    The Duchess of Grafton is a British noble title traditionally held by the wife of the Duke of Grafton, a peerage created in the late 17th century for an illegitimate son of King Charles II.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7a4a3c81908fc87f48b6dcbbf7 completed April 29, 2026, 1:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b2d6700548190aa5be562944ee8fd completed May 18, 2026, 3:16 p.m.
NEDg Description generation batch_6a0b364718308190937c3b7ae90ea9df completed May 18, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b37998f888190bb53c2429760321a completed May 18, 2026, 4 p.m.
Created at: April 16, 2026, 8:52 p.m.