Triple

T4028975
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Archer E83659 entity
Predicate spouse P13 FINISHED
Object Mary Archer
Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
E432622 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: Mary Archer | Statement: [Jeffrey Archer, spouse, Mary Archer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Archer
Context triple: [Jeffrey Archer, spouse, Mary Archer]
  • A. Anne Archer
    Anne Archer is an American actress best known for her Academy Award–nominated role in the 1987 thriller "Fatal Attraction."
  • B. Marian McAlpin
    Marian McAlpin is the conflicted young protagonist of Margaret Atwood’s novel "The Edible Woman," whose growing aversion to food mirrors her anxiety about identity, gender roles, and societal expectations.
  • C. Mary Carr
    Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
  • D. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • E. Rosemary DeCamp
    Rosemary DeCamp was an American character actress known for her warm, maternal roles in film, radio, and television from the 1940s through the 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: Mary Archer
Triple: [Jeffrey Archer, spouse, Mary Archer]
Generated description
Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Archer
Target entity description: Mary Archer is a British scientist and academic, known for her work in solar energy research and for being married to novelist and former politician Jeffrey Archer.
  • A. Anne Archer
    Anne Archer is an American actress best known for her Academy Award–nominated role in the 1987 thriller "Fatal Attraction."
  • B. Marian McAlpin
    Marian McAlpin is the conflicted young protagonist of Margaret Atwood’s novel "The Edible Woman," whose growing aversion to food mirrors her anxiety about identity, gender roles, and societal expectations.
  • C. Mary Carr
    Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
  • D. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • E. Rosemary DeCamp
    Rosemary DeCamp was an American character actress known for her warm, maternal roles in film, radio, and television from the 1940s through the 1970s.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf066b08190afbb4a18ddc8d67e completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db6b01e48190a2e02597347f3348 completed March 14, 2026, 10:04 p.m.
NEDg Description generation batch_69b5dc578b08819095cbf6ba8470d3e0 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd1b03508190a47bb6fb93f22ad8 completed March 14, 2026, 10:11 p.m.
Created at: March 9, 2026, 3:36 p.m.