Triple

T21615054
Position Surface form Disambiguated ID Type / Status
Subject Valerie Jarrett E533415 entity
Predicate hasSurname P18 FINISHED
Object Jarrett NE NERFINISHED

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: Jarrett | Statement: [Valerie Jarrett, hasSurname, Jarrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarrett
Context triple: [Valerie Jarrett, hasSurname, Jarrett]
  • A. Jarrett chosen
    Jarrett is a surname most prominently associated with Valerie Jarrett, a senior advisor to former U.S. President Barack Obama and influential figure in American politics.
  • B. Jason Jarrett
    Jason Jarrett is an American former stock car racing driver who competed in NASCAR and is the son of NASCAR champion Dale Jarrett.
  • C. Ma Jarrett
    Ma Jarrett is a key supporting character in the classic 1949 film noir "White Heat," known as the fiercely devoted and manipulative mother of gangster Cody Jarrett.
  • D. Jarrett Payton
    Jarrett Payton is a former American football running back and media personality, best known as the son of NFL Hall of Famer Walter Payton.
  • E. Garrett Clayton
    Garrett Clayton is an American actor and singer best known for his roles in Disney Channel productions and musical films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba9aca48190b5180eefd61a9fdc completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.