Triple

T1451090
Position Surface form Disambiguated ID Type / Status
Subject Olga Taussky-Todd E31291 entity
Predicate spouse P13 FINISHED
Object 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.
 E270618 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 | Statement: [Olga Taussky-Todd, spouse, John Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Todd
Context triple: [Olga Taussky-Todd, spouse, John Todd]
  • A. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • B. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • C. John McDonough
    John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
  • D. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • E. 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.
  • 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
Triple: [Olga Taussky-Todd, spouse, John Todd]
Generated description
John Todd was a British mathematician known for his work in numerical analysis and for helping to establish the field of computational mathematics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Todd
Target entity description: John Todd was a British mathematician known for his work in numerical analysis and for helping to establish the field of computational mathematics.
  • A. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • B. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • C. John McDonough
    John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
  • D. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • E. 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.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57bc0908190a57e6bc3d20d5e3c completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69af173cc94c8190a351334e7645cc0c completed March 9, 2026, 6:53 p.m.
NEDg Description generation batch_69af1b0eb9dc81908b402a6536a40418 completed March 9, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69af1bec9bcc819086977175aa859a51 completed March 9, 2026, 7:13 p.m.
Created at: March 1, 2026, 8 p.m.