Triple

T21431771
Position Surface form Disambiguated ID Type / Status
Subject Henrietta Wilson E528704 entity
Predicate portrayedBy P1507 FINISHED
Object Aisha Hinds 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: Aisha Hinds | Statement: [Henrietta Wilson, portrayedBy, Aisha Hinds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aisha Hinds
Context triple: [Henrietta Wilson, portrayedBy, Aisha Hinds]
  • A. Aisha Hinds chosen
    Aisha Hinds is an American actress known for her powerful supporting and character roles in film and television, particularly in drama and crime series.
  • B. Khandi Alexander
    Khandi Alexander is an American actress, dancer, and choreographer known for her roles in television series such as "NewsRadio," "CSI: Miami," "Treme," and "Scandal."
  • C. 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."
  • D. Justine Lupe
    Justine Lupe is an American actress known for her roles in television series such as Mr. Mercedes and Succession.
  • E. Amber Atkins
    Amber Atkins is the ambitious small-town teenager and beauty pageant contestant portrayed by Kirsten Dunst in the dark comedy film "Drop Dead Gorgeous."
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3ec70f08190b84c4f747cfb290f completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.