Triple

T10748283
Position Surface form Disambiguated ID Type / Status
Subject Ron Burkle E253507 entity
Predicate hasChild P369 FINISHED
Object Kerry Burkle
Kerry Burkle is known as the child of American billionaire investor and philanthropist Ron Burkle.
E884356 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: Kerry Burkle | Statement: [Ron Burkle, hasChild, Kerry Burkle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerry Burkle
Context triple: [Ron Burkle, hasChild, Kerry Burkle]
  • A. Kerry Ehrin
    Kerry Ehrin is an American television writer and producer best known for her work on acclaimed series such as Bates Motel and The Morning Show.
  • B. Kerry Killinger
    Kerry Killinger is an American banker best known for leading Washington Mutual as its CEO during its aggressive expansion and subsequent collapse in the 2008 financial crisis.
  • C. Jeremy Kleiner
    Jeremy Kleiner is an American film producer known for his work on acclaimed films such as the civil rights drama "Selma."
  • D. Clint Bolick
    Clint Bolick is an American lawyer, legal scholar, and Arizona Supreme Court justice known for his work on constitutional law, civil liberties, and free-market public interest litigation.
  • E. Bryan Mills
    Bryan Mills is the highly skilled former CIA operative and fiercely protective father portrayed by Liam Neeson in the Taken film series.
  • 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: Kerry Burkle
Triple: [Ron Burkle, hasChild, Kerry Burkle]
Generated description
Kerry Burkle is known as the child of American billionaire investor and philanthropist Ron Burkle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kerry Burkle
Target entity description: Kerry Burkle is known as the child of American billionaire investor and philanthropist Ron Burkle.
  • A. Kerry Ehrin
    Kerry Ehrin is an American television writer and producer best known for her work on acclaimed series such as Bates Motel and The Morning Show.
  • B. Kerry Killinger
    Kerry Killinger is an American banker best known for leading Washington Mutual as its CEO during its aggressive expansion and subsequent collapse in the 2008 financial crisis.
  • C. Jeremy Kleiner
    Jeremy Kleiner is an American film producer known for his work on acclaimed films such as the civil rights drama "Selma."
  • D. Clint Bolick
    Clint Bolick is an American lawyer, legal scholar, and Arizona Supreme Court justice known for his work on constitutional law, civil liberties, and free-market public interest litigation.
  • E. Bryan Mills
    Bryan Mills is the highly skilled former CIA operative and fiercely protective father portrayed by Liam Neeson in the Taken film series.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b9242c81908dbf3fa155159b3c completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de231af7388190b73347a3ffc1077a completed April 14, 2026, 11:20 a.m.
NEDg Description generation batch_69de27fb843c81908c0d0a5fb231543f completed April 14, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69de2dff4a048190823c8b5f1f7ea548 completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:15 p.m.