Triple

T2832213
Position Surface form Disambiguated ID Type / Status
Subject Dolley Madison E62264 entity
Predicate spouse P13 FINISHED
Object John Todd Jr.
John Todd Jr. was an American lawyer best known as the first husband of future First Lady Dolley Madison, who died during the 1793 yellow fever epidemic in Philadelphia.
E302165 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: John Todd Jr. | Statement: [Dolley Madison, spouse, John Todd Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Todd Jr.
Context triple: [Dolley Madison, spouse, John Todd Jr.]
  • A. John Todd
    John Todd was a British mathematician known for his work in numerical analysis and for helping to establish the field of computational mathematics.
  • B. John Thomas
    John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
  • C. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • D. John Grandy
    John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
  • E. James Seymour
    James Seymour was an American screenwriter active during Hollywood's early sound era, contributing to several notable studio films in the 1930s.
  • 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: John Todd Jr.
Triple: [Dolley Madison, spouse, John Todd Jr.]
Generated description
John Todd Jr. was an American lawyer best known as the first husband of future First Lady Dolley Madison, who died during the 1793 yellow fever epidemic in Philadelphia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Todd Jr.
Target entity description: John Todd Jr. was an American lawyer best known as the first husband of future First Lady Dolley Madison, who died during the 1793 yellow fever epidemic in Philadelphia.
  • A. John Todd
    John Todd was a British mathematician known for his work in numerical analysis and for helping to establish the field of computational mathematics.
  • B. John Thomas
    John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
  • C. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • D. John Grandy
    John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
  • E. James Seymour
    James Seymour was an American screenwriter active during Hollywood's early sound era, contributing to several notable studio films in the 1930s.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebe95188190bf65fb4cd88e2ec5 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb856d8819082d79b08433fe6d8 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf6ded208190a9315d1130dd0cbe completed March 10, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69afd0219b34819095bc98ba28ca97f5 completed March 10, 2026, 8:02 a.m.
Created at: March 6, 2026, 10:01 p.m.