Triple

T893256
Position Surface form Disambiguated ID Type / Status
Subject Caroline Kennedy E19286 entity
Predicate child P120 FINISHED
Object Rose Schlossberg
Rose Schlossberg is an American actress, comedian, and web series creator, and the eldest grandchild of former U.S. President John F. Kennedy.
E235734 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: Rose Schlossberg | Statement: [Caroline Kennedy, child, Rose Schlossberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Schlossberg
Context triple: [Caroline Kennedy, child, Rose Schlossberg]
  • A. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • B. Barbara Robbins
    Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
  • C. Nancy Goodman
    Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
  • D. Gloria Katz
    Gloria Katz was an American screenwriter and producer best known for her collaborations with George Lucas, including work on films like "American Graffiti" and "Star Wars."
  • E. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • 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: Rose Schlossberg
Triple: [Caroline Kennedy, child, Rose Schlossberg]
Generated description
Rose Schlossberg is an American actress, comedian, and web series creator, and the eldest grandchild of former U.S. President John F. Kennedy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rose Schlossberg
Target entity description: Rose Schlossberg is an American actress, comedian, and web series creator, and the eldest grandchild of former U.S. President John F. Kennedy.
  • A. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • B. Barbara Robbins
    Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
  • C. Nancy Goodman
    Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
  • D. Gloria Katz
    Gloria Katz was an American screenwriter and producer best known for her collaborations with George Lucas, including work on films like "American Graffiti" and "Star Wars."
  • E. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5150360881909dabd3d6d12f83e1 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae51e8aaa48190919397831d46db23 completed March 9, 2026, 4:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae526dd8608190baefb3101884c83f completed March 9, 2026, 4:54 a.m.
Created at: March 1, 2026, 7:39 p.m.