Triple

T14445489
Position Surface form Disambiguated ID Type / Status
Subject Carnegie Medal of Philanthropy E358193 entity
Predicate hasNotableRecipient P108 FINISHED
Object Joan Kroc E1003486 NE FINISHED

How this triple was built (2 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: Joan Kroc | Statement: [Carnegie Medal of Philanthropy, hasNotableRecipient, Joan Kroc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Kroc
Context triple: [Carnegie Medal of Philanthropy, hasNotableRecipient, Joan Kroc]
  • A. Joan B. Kroc chosen
    Joan B. Kroc was an American philanthropist and widow of McDonald’s CEO Ray Kroc, renowned for her large-scale charitable donations to causes such as peace, education, and social justice.
  • B. Helen Burger
    Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
  • C. Betty Smothers
    Betty Smothers was a Baton Rouge police officer whose 1993 murder profoundly impacted her son, NFL running back Warrick Dunn, and inspired his extensive charitable work.
  • D. Joan Hamburger
    Joan Hamburger is a relative of American fashion designer Karl Anderson Jr., better known as Michael Kors.
  • E. Myrtle Gruenert
    Myrtle Gruenert was the wife of Australian speech therapist Lionel Logue, who famously treated King George VI.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915e76f481909fe9462f964b5b1c completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdd0f388190870ddd01f66d3e99 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:19 a.m.