Triple

T20739166
Position Surface form Disambiguated ID Type / Status
Subject Mary Kay Ash E509791 entity
Predicate child P120 FINISHED
Object Richard Rogers
Richard Rogers is the son of Mary Kay Ash, the founder of Mary Kay Cosmetics, and has been involved in the leadership of the company.
E1448128 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: Richard Rogers | Statement: [Mary Kay Ash, child, Richard Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Rogers
Context triple: [Mary Kay Ash, child, Richard Rogers]
  • A. Richard Rogers
    Richard Rogers was a renowned British architect celebrated for his high-tech, modernist designs, including the Centre Pompidou in Paris and the Lloyd’s building in London.
  • B. Norman Foster
    Norman Foster is a renowned British architect known for his high-tech, innovative designs such as London's Gherkin and the Reichstag dome in Berlin.
  • C. Norman Foster
    Norman Foster was an American film and television director and actor active in Hollywood from the 1920s through the 1950s.
  • D. James Stirling
    James Stirling was a 19th-century British naval officer and colonial administrator who became the first Governor of Western Australia.
  • E. James Stirling
    James Stirling was an 18th-century Scottish mathematician best known for his work in analysis and for the approximation formula for factorials that bears his name.
  • 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: Richard Rogers
Triple: [Mary Kay Ash, child, Richard Rogers]
Generated description
Richard Rogers is the son of Mary Kay Ash, the founder of Mary Kay Cosmetics, and has been involved in the leadership of the company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Richard Rogers
Target entity description: Richard Rogers is the son of Mary Kay Ash, the founder of Mary Kay Cosmetics, and has been involved in the leadership of the company.
  • A. Richard Rogers
    Richard Rogers was a renowned British architect celebrated for his high-tech, modernist designs, including the Centre Pompidou in Paris and the Lloyd’s building in London.
  • B. Norman Foster
    Norman Foster is a renowned British architect known for his high-tech, innovative designs such as London's Gherkin and the Reichstag dome in Berlin.
  • C. Norman Foster
    Norman Foster was an American film and television director and actor active in Hollywood from the 1920s through the 1950s.
  • D. James Stirling
    James Stirling was a 19th-century British naval officer and colonial administrator who became the first Governor of Western Australia.
  • E. James Stirling
    James Stirling was an 18th-century Scottish mathematician best known for his work in analysis and for the approximation formula for factorials that bears his name.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20d9d4c8190a2fd87f8a33c313d completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e83a28548190b87010bfde6626eb completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8df60c88190803590abd75b3e43 completed May 16, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08e95f05088190b5934f067c5dd7b7 completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:32 p.m.