Triple

T15511155
Position Surface form Disambiguated ID Type / Status
Subject Lady Louise Windsor E368711 entity
Predicate middleName P143 FINISHED
Object Elizabeth
Elizabeth is the middle name of Lady Louise Windsor, a member of the British royal family and granddaughter of Queen Elizabeth II.
E1161908 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 | Statement: [Lady Louise Windsor, middleName, Elizabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Context triple: [Lady Louise Windsor, middleName, Elizabeth]
  • A. Elizabeth
    Elizabeth is a central character in the 1931 horror film "Frankenstein," serving as Henry Frankenstein’s fiancée and a key figure whose vulnerability heightens the story’s emotional and dramatic stakes.
  • B. Elizabeth
    Elizabeth was the Duchess of York who later became Queen Elizabeth The Queen Mother, a prominent member of the British royal family in the 20th century.
  • C. Elizabeth
    Elizabeth is the given name of Elizabeth Jane Cochrane, better known as pioneering American investigative journalist Nellie Bly.
  • D. Elizabeth
    Elizabeth of Denmark was a 16th-century Danish princess who became Electress of Brandenburg through her marriage to Joachim II Hector.
  • E. Elizabeth
    Elizabeth is the given first name of American actress Bess Armstrong, known for her work in film and television since the late 1970s.
  • 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
Triple: [Lady Louise Windsor, middleName, Elizabeth]
Generated description
Elizabeth is the middle name of Lady Louise Windsor, a member of the British royal family and granddaughter of Queen Elizabeth II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elizabeth
Target entity description: Elizabeth is the middle name of Lady Louise Windsor, a member of the British royal family and granddaughter of Queen Elizabeth II.
  • A. Elizabeth
    Elizabeth is the middle name of Princess Beatrice of York, a member of the British royal family.
  • B. Elizabeth
    Elizabeth is the middle name of Lady Sarah Chatto, a British painter and member of the extended royal family.
  • C. Elizabeth
    Elizabeth is the given name of Lady Elizabeth Spencer-Churchill, a member of the prominent Spencer-Churchill aristocratic family in Britain.
  • D. Elizabeth
    Elizabeth is the middle name of Mary Elizabeth Horsley, likely reflecting a traditional English given name.
  • E. Elizabeth
    Elizabeth is the given name of Princess Alexandra, The Honourable Lady Ogilvy, a member of the British royal family and cousin of Queen Elizabeth 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4cf35c8190aa8d2db6dd744c3f completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3e65e31c8190bca4f766afdd49e6 completed May 9, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff3ebafa488190a971290498234d58 completed May 9, 2026, 2:03 p.m.
Created at: April 10, 2026, 3:55 a.m.