Triple

T14820490
Position Surface form Disambiguated ID Type / Status
Subject K.C. Cooper E348436 entity
Predicate hasParent P120 FINISHED
Object Kira Cooper E1110354 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: Kira Cooper | Statement: [K.C. Cooper, hasParent, Kira Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kira Cooper
Context triple: [K.C. Cooper, hasParent, Kira Cooper]
  • A. Kira Cooper chosen
    Kira Cooper is a savvy and supportive former spy who serves as the mother of the undercover teenage agent in the Disney Channel series "K.C. Undercover."
  • B. Kiana Williams
    Kiana Williams is an American basketball player best known as a standout point guard and leader for Stanford University's women's basketball team, where she helped guide the Cardinal to an NCAA championship.
  • C. Kyla Ross
    Kyla Ross is an American artistic gymnast, Olympic gold medalist, and multiple-time NCAA champion who became one of the most decorated athletes in collegiate gymnastics history.
  • D. Kyla Smith
    Kyla Smith is a songwriter best known for co-writing Drake’s hit single “One Dance.”
  • E. Mekia Cox
    Mekia Cox is an American actress and dancer known for her roles in television series such as "Secrets and Lies," "Once Upon a Time," and "Chicago Med."
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a6b4388190b83bdecb217b9b18 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:50 a.m.