Triple

T5067458
Position Surface form Disambiguated ID Type / Status
Subject Uzo Aduba E114177 entity
Predicate hasSibling P363 FINISHED
Object Chioma Aduba E114177 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: Chioma Aduba | Statement: [Uzo Aduba, hasSibling, Chioma Aduba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chioma Aduba
Context triple: [Uzo Aduba, hasSibling, Chioma Aduba]
  • A. Uzo Aduba chosen
    Uzo Aduba is an Emmy Award–winning American actress best known for her acclaimed portrayal of Suzanne "Crazy Eyes" Warren on the Netflix series "Orange Is the New Black."
  • B. Yaya DaCosta
    Yaya DaCosta is an American actress and model known for her work in film, television, and fashion, including roles in "America's Next Top Model," "The Butler," and "Chicago Med."
  • C. Susan Kelechi Watson
    Susan Kelechi Watson is an American actress best known for her role as Beth Pearson on the television series "This Is Us."
  • D. Jurnee Smollett-Bell
    Jurnee Smollett-Bell is an American actress known for her work in film and television, including prominent roles in projects like "Eve's Bayou," "Friday Night Lights," and "Lovecraft Country."
  • E. Mamoudou Athie
    Mamoudou Athie is a Mauritanian-American actor known for his roles in films like "The Front Runner" and "Unicorn Store" and the TV series "Sorry for Your Loss" and "Archive 81."
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749bf69c819093e75dce56f1c0ab completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea4a027a88190a515a374e5405d8a completed March 21, 2026, 2:01 p.m.
Created at: March 20, 2026, 1:38 p.m.