Triple

T2854811
Position Surface form Disambiguated ID Type / Status
Subject D. H. Lawrence E63174 entity
Predicate spouse P13 FINISHED
Object Frieda Lawrence
Frieda Lawrence was a German-born literary figure and muse best known as the wife and close collaborator of English novelist D. H. Lawrence.
E395299 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: Frieda Lawrence | Statement: [D. H. Lawrence, spouse, Frieda Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frieda Lawrence
Context triple: [D. H. Lawrence, spouse, Frieda Lawrence]
  • A. Frieda Hughes
    Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
  • B. Florence Dugdale
    Florence Dugdale was an English schoolteacher and writer best known as the second wife and later biographer of novelist and poet Thomas Hardy.
  • C. Freda Miller
    Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
  • D. Florence Craye
    Florence Craye is a recurring character in P. G. Wodehouse’s Jeeves and Wooster stories, known as an earnest, intellectual young woman and one of Bertie Wooster’s on-and-off fiancées.
  • E. Estelle Winwood
    Estelle Winwood was a British-born stage and film actress known for her long career in theater and character roles in Hollywood, often playing eccentric or aristocratic older women.
  • 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: Frieda Lawrence
Triple: [D. H. Lawrence, spouse, Frieda Lawrence]
Generated description
Frieda Lawrence was a German-born literary figure and muse best known as the wife and close collaborator of English novelist D. H. Lawrence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frieda Lawrence
Target entity description: Frieda Lawrence was a German-born literary figure and muse best known as the wife and close collaborator of English novelist D. H. Lawrence.
  • A. Frieda Hughes
    Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
  • B. Florence Dugdale
    Florence Dugdale was an English schoolteacher and writer best known as the second wife and later biographer of novelist and poet Thomas Hardy.
  • C. Freda Miller
    Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
  • D. Florence Craye
    Florence Craye is a recurring character in P. G. Wodehouse’s Jeeves and Wooster stories, known as an earnest, intellectual young woman and one of Bertie Wooster’s on-and-off fiancées.
  • E. Estelle Winwood
    Estelle Winwood was a British-born stage and film actress known for her long career in theater and character roles in Hollywood, often playing eccentric or aristocratic older women.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b511f37d188190b5604645960e3f11 completed March 14, 2026, 7:44 a.m.
NEDg Description generation batch_69b51318c0348190a665648a19ea8b51 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5137d9bb0819085be156826bc945a completed March 14, 2026, 7:51 a.m.
Created at: March 6, 2026, 10:02 p.m.