Triple

T22381339
Position Surface form Disambiguated ID Type / Status
Subject Queen & Slim E553281 entity
Predicate screenwriter P2831 FINISHED
Object Lena Waithe 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: Lena Waithe | Statement: [Queen & Slim, screenwriter, Lena Waithe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lena Waithe
Context triple: [Queen & Slim, screenwriter, Lena Waithe]
  • A. Lena Waithe chosen
    Lena Waithe is an Emmy-winning American writer, producer, and actress known for her work on "Master of None," "The Chi," and for being a prominent voice for Black and LGBTQ+ representation in Hollywood.
  • B. Olivia Waithe
    Olivia Waithe is a writer best known for her work on the comedy special "What Now."
  • C. Dee Rees
    Dee Rees is an acclaimed American filmmaker and screenwriter known for her powerful explorations of race, identity, and sexuality in films such as "Pariah," "Bessie," and "Mudbound."
  • D. Nyree Dawn Porter
    Nyree Dawn Porter was a New Zealand-born British actress best known for her television and stage work in the 1960s and 1970s, particularly in period dramas.
  • E. Aja Naomi King
    Aja Naomi King is an American actress best known for her role as Michaela Pratt on the television series "How to Get Away with Murder" and for her work in various film and television dramas.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1582c05fc8190836ae008426177a5 completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.