Triple

T15233737
Position Surface form Disambiguated ID Type / Status
Subject Randy Hickey E364069 entity
Predicate closeFriend P8712 FINISHED
Object Darnell Turner E350884 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: Darnell Turner | Statement: [Randy Hickey, closeFriend, Darnell Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darnell Turner
Context triple: [Randy Hickey, closeFriend, Darnell Turner]
  • A. Darnell Turner chosen
    Darnell Turner is a laid-back, enigmatic friend of Earl Hickey on the sitcom "My Name Is Earl," known for his secretive past and unexpectedly wise demeanor.
  • B. Darnell Dalton
    Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
  • C. Darnell Donerson
    Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
  • D. Darnell Williams
    Darnell Williams is an American actor best known for his long-running role as Jesse Hubbard on the soap opera "All My Children."
  • E. Darnell Lewis
    Darnell Lewis is a central comedic character in the film "Get Hard," portrayed as a small-business owner who helps a wealthy, naive financier prepare for prison life.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff56b25a808190b56f8ab3c506b771 completed May 9, 2026, 3:45 p.m.
Created at: April 10, 2026, 3:12 a.m.