Triple

T1072378
Position Surface form Disambiguated ID Type / Status
Subject Louis Kahn E23357 entity
Predicate child P120 FINISHED
Object Sue Ann Kahn
Sue Ann Kahn is an American flutist and music educator known for her performances of contemporary and chamber music.
 E243622 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: Sue Ann Kahn | Statement: [Louis Kahn, child, Sue Ann Kahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sue Ann Kahn
Context triple: [Louis Kahn, child, Sue Ann Kahn]
  • A. Sally Kornbluth
    Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
  • B. Joan Sobel
    Joan Sobel is a film editor best known for her work on critically acclaimed films such as "A Single Man."
  • C. Sandra Levy
    Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
  • D. Nancy Goodman
    Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
  • E. Suzanne Goldberg
    Suzanne Goldberg is known as the wife of prominent 1960s Free Speech Movement leader Mario Savio.
  • 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: Sue Ann Kahn
Triple: [Louis Kahn, child, Sue Ann Kahn]
Generated description
Sue Ann Kahn is an American flutist and music educator known for her performances of contemporary and chamber music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sue Ann Kahn
Target entity description: Sue Ann Kahn is an American flutist and music educator known for her performances of contemporary and chamber music.
  • A. Sally Kornbluth
    Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
  • B. Joan Sobel
    Joan Sobel is a film editor best known for her work on critically acclaimed films such as "A Single Man."
  • C. Sandra Levy
    Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
  • D. Nancy Goodman
    Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
  • E. Suzanne Goldberg
    Suzanne Goldberg is a prominent civil rights lawyer and legal scholar known for her work on free speech and equality issues in the United States.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b9296c5c8190a3060fbfdf24f029 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae650fa53c8190a6db9d10c97f9850 completed March 9, 2026, 6:13 a.m.
NEDg Description generation batch_69ae65bfafec8190adf80379cd5b34f3 completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae6622b0688190bf90fa04780bbf80 completed March 9, 2026, 6:18 a.m.
Created at: March 1, 2026, 7:42 p.m.