Triple

T19194890
Position Surface form Disambiguated ID Type / Status
Subject Verna Jarrett E469940 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Cody 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: Cody Jarrett | Statement: [Verna Jarrett, hasRelationshipWith, Cody Jarrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cody Jarrett
Context triple: [Verna Jarrett, hasRelationshipWith, Cody Jarrett]
  • A. Cody Jarrett chosen
    Cody Jarrett is the ruthless, psychotic gang leader famously portrayed by James Cagney in the classic 1949 crime film "White Heat."
  • B. Cody Bennett
    Cody Bennett is a character from the TV series "Dexter," known as the son of Rita Morgan and the younger half-brother of Harrison Morgan.
  • C. Colt Ford
    Colt Ford is an American country rap artist and former professional golfer known for blending hip-hop beats with Southern country themes.
  • D. 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.
  • E. Joshua Bowman
    Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a4d6b4819083fc5dd4dab05811 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.