Triple

T9519184
Position Surface form Disambiguated ID Type / Status
Subject Lorne Greene E229602 entity
Predicate spouse P13 FINISHED
Object Nancy Deale
Nancy Deale was an American actress and the wife of Canadian actor Lorne Greene, known for her work in film and television during the mid-20th century.
E928474 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: Nancy Deale | Statement: [Lorne Greene, spouse, Nancy Deale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Deale
Context triple: [Lorne Greene, spouse, Nancy Deale]
  • A. Nancy Dow
    Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
  • B. Donna Deegan
    Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
  • C. Nancy Sullivan
    Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
  • D. Nancy Birch
    Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
  • E. Nancy Cummings
    Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
  • 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: Nancy Deale
Triple: [Lorne Greene, spouse, Nancy Deale]
Generated description
Nancy Deale was an American actress and the wife of Canadian actor Lorne Greene, known for her work in film and television during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nancy Deale
Target entity description: Nancy Deale was an American actress and the wife of Canadian actor Lorne Greene, known for her work in film and television during the mid-20th century.
  • A. Nancy Dow
    Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
  • B. Donna Deegan
    Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
  • C. Nancy Sullivan
    Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
  • D. Nancy Birch
    Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
  • E. Nancy Cummings
    Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6035cf86081909603cec9aa5bd9d6 completed April 20, 2026, 10:43 a.m.
NEDg Description generation batch_69e610a07bf881908de79850edb9576f completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e617fdaaa88190a1860fb00309596b completed April 20, 2026, 12:11 p.m.
Created at: March 30, 2026, 7:59 p.m.