Triple

T216185
Position Surface form Disambiguated ID Type / Status
Subject P. G. Wodehouse E4109 entity
Predicate spouse P13 FINISHED
Object Ethel Wayman
Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
E102712 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 Wayman | Statement: [P. G. Wodehouse, spouse, Ethel Wayman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethel Wayman
Context triple: [P. G. Wodehouse, spouse, Ethel Wayman]
  • A. Lucile Rosson
    Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
  • B. Emma Channing
    Emma Channing is a central, emotionally fragile and often manipulated character in the 1980s American prime-time soap opera "Falcon Crest," known for her troubled family relationships and dramatic storylines.
  • C. Muriel Whiting
    Muriel Whiting was the wife of British Royal Air Force commander Hugh Dowding, 1st Baron Dowding, noted for his leadership during the Battle of Britain.
  • D. Amabel James
    Amabel James is known as the spouse of British businessman and hedge fund manager Tony James.
  • E. Lillie Hitchcock Coit
    Lillie Hitchcock Coit was a wealthy San Francisco socialite and eccentric philanthropist best known for her passionate support of the city’s firefighters and for funding the construction of Coit Tower.
  • 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 Wayman
Triple: [P. G. Wodehouse, spouse, Ethel Wayman]
Generated description
Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ethel Wayman
Target entity description: Ethel Wayman was the wife of British humorist and novelist P. G. Wodehouse.
  • A. Lucile Rosson
    Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
  • B. Emma Channing
    Emma Channing is a central, emotionally fragile and often manipulated character in the 1980s American prime-time soap opera "Falcon Crest," known for her troubled family relationships and dramatic storylines.
  • C. Muriel Whiting
    Muriel Whiting was the wife of British Royal Air Force commander Hugh Dowding, 1st Baron Dowding, noted for his leadership during the Battle of Britain.
  • D. Amabel James
    Amabel James is known as the spouse of British businessman and hedge fund manager Tony James.
  • E. Lillie Hitchcock Coit
    Lillie Hitchcock Coit was a wealthy San Francisco socialite and eccentric philanthropist best known for her passionate support of the city’s firefighters and for funding the construction of Coit Tower.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c4edfa081909fe97c86c3c7801d completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a7b82d2d5c8190b5cd8779fcbc8e81 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b9279564819084bb4c759a09421c completed March 4, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9912a3c81908eb004554d92f8e3 completed March 4, 2026, 4:48 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.