Triple

T7359961
Position Surface form Disambiguated ID Type / Status
Subject Nightingale Training School for Nurses E169719 entity
Predicate hasNotableAlumni P51 FINISHED
Object Ethel Gordon Fenwick
Ethel Gordon Fenwick was a pioneering British nurse and campaigner who led the movement for state registration of nurses and helped professionalize modern nursing in the United Kingdom.
 E690243 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: Ethel Gordon Fenwick | Statement: [Nightingale Training School for Nurses, hasNotableAlumni, Ethel Gordon Fenwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ethel Gordon Fenwick
Context triple: [Nightingale Training School for Nurses, hasNotableAlumni, Ethel Gordon Fenwick]
  • A. Ethel Wayman
    Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
  • B. Margaret Davenport
    Margaret Davenport is the mother of American actor Emile Hirsch.
  • C. Elizabeth Mott
    Elizabeth Mott was a daughter of prominent American Quaker abolitionist and women's rights activist Lucretia Mott.
  • D. Ethel Parker
    Ethel Parker was the wife of influential British town planner and architect Raymond Unwin, associated with the early garden city movement.
  • E. Edith Luckett
    Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
  • 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: Ethel Gordon Fenwick
Triple: [Nightingale Training School for Nurses, hasNotableAlumni, Ethel Gordon Fenwick]
Generated description
Ethel Gordon Fenwick was a pioneering British nurse and campaigner who led the movement for state registration of nurses and helped professionalize modern nursing in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ethel Gordon Fenwick
Target entity description: Ethel Gordon Fenwick was a pioneering British nurse and campaigner who led the movement for state registration of nurses and helped professionalize modern nursing in the United Kingdom.
  • A. Ethel Wayman
    Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
  • B. Margaret Davenport
    Margaret Davenport is the mother of American actor Emile Hirsch.
  • C. Elizabeth Mott
    Elizabeth Mott was a daughter of prominent American Quaker abolitionist and women's rights activist Lucretia Mott.
  • D. Ethel Parker
    Ethel Parker was the wife of influential British town planner and architect Raymond Unwin, associated with the early garden city movement.
  • E. Edith Luckett
    Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13f325081909ccdcbf9f5660cee completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c922a94b3881908a3482ca45891df7 completed March 29, 2026, 1:01 p.m.
NEDg Description generation batch_69c9238e42188190a32b0cc6431c4136 completed March 29, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69c923dc37a0819089c372004886a494 completed March 29, 2026, 1:06 p.m.
Created at: March 27, 2026, 3:06 p.m.