Triple

T16545857
Position Surface form Disambiguated ID Type / Status
Subject Sir Michael Adeane E401939 entity
Predicate mother P120 FINISHED
Object Hon. Pamela Alma Vivian
Hon. Pamela Alma Vivian was a British aristocrat and the mother of Sir Michael Adeane, who served as Private Secretary to Queen Elizabeth II.
E1220063 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: Hon. Pamela Alma Vivian | Statement: [Sir Michael Adeane, mother, Hon. Pamela Alma Vivian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hon. Pamela Alma Vivian
Context triple: [Sir Michael Adeane, mother, Hon. Pamela Alma Vivian]
  • A. Pamela Healey
    Pamela Healey is a television producer best known for her executive production work on talk shows and other unscripted programming.
  • B. Marjorie Marshall
    Marjorie Marshall was an American tap dance teacher and the mother of filmmaker and actress Penny Marshall.
  • C. Judith Kilpatrick
    Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
  • D. Ruth Young
    Ruth Young is an actress known for her role in the jazz documentary film "Let’s Get Lost."
  • E. Barbara Murray
    Barbara Murray was a British actress known for her extensive work in film and television, including prominent roles in mid-20th-century British dramas and series.
  • 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: Hon. Pamela Alma Vivian
Triple: [Sir Michael Adeane, mother, Hon. Pamela Alma Vivian]
Generated description
Hon. Pamela Alma Vivian was a British aristocrat and the mother of Sir Michael Adeane, who served as Private Secretary to Queen Elizabeth II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hon. Pamela Alma Vivian
Target entity description: Hon. Pamela Alma Vivian was a British aristocrat and the mother of Sir Michael Adeane, who served as Private Secretary to Queen Elizabeth II.
  • A. Pamela Healey
    Pamela Healey is a television producer best known for her executive production work on talk shows and other unscripted programming.
  • B. Marjorie Marshall
    Marjorie Marshall was an American tap dance teacher and the mother of filmmaker and actress Penny Marshall.
  • C. Judith Kilpatrick
    Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
  • D. Ruth Young
    Ruth Young is an actress known for her role in the jazz documentary film "Let’s Get Lost."
  • E. Barbara Murray
    Barbara Murray was a British actress known for her extensive work in film and television, including prominent roles in mid-20th-century British dramas and series.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34562c30c81908d6318f359002ff2 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b3248c8190b63793bfc072aa4f completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a0069d3b1c4819093c99516843cace6 completed May 10, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a006a4febf0819090471a73e88fdaf2 completed May 10, 2026, 11:21 a.m.
Created at: April 10, 2026, 5:15 a.m.