Triple

T85943
Position Surface form Disambiguated ID Type / Status
Subject John Maynard Keynes E1729 entity
Predicate middleName P143 FINISHED
Object Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
E22313 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: Maynard | Statement: [John Maynard Keynes, middleName, Maynard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maynard
Context triple: [John Maynard Keynes, middleName, Maynard]
  • A. F. Maynard
    F. Maynard was a climber known for making the first recorded ascent of Pico de Orizaba, the highest peak in Mexico.
  • B. Neal
    Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • C. Don Maynard
    Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
  • D. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • E. Del Ray
    Del Ray is a vibrant, walkable neighborhood in Alexandria, Virginia, known for its small-town feel, independent shops and restaurants, and strong community events like the annual Art on the Avenue festival.
  • 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: Maynard
Triple: [John Maynard Keynes, middleName, Maynard]
Generated description
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maynard
Target entity description: Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
  • A. F. Maynard
    F. Maynard was a climber known for making the first recorded ascent of Pico de Orizaba, the highest peak in Mexico.
  • B. Neal
    Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
  • C. Don Maynard
    Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
  • D. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • E. Del Ray
    Del Ray is a vibrant, walkable neighborhood in Alexandria, Virginia, known for its small-town feel, independent shops and restaurants, and strong community events like the annual Art on the Avenue festival.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4fa22c819096152bb577e11fa6 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee865f00819098ea55851216de2d completed Feb. 28, 2026, 1:32 p.m.
NEDg Description generation batch_69a2ef24de2c8190b93330c76172507b completed Feb. 28, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69a2ef9d85cc8190b585b87c30f58ae1 completed Feb. 28, 2026, 1:37 p.m.
Created at: Feb. 28, 2026, 2:06 a.m.