Triple

T14077673
Position Surface form Disambiguated ID Type / Status
Subject A Dry White Season E338779 entity
Predicate screenwriter P2831 FINISHED
Object Euzhan Palcy E1077180 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: Euzhan Palcy | Statement: [A Dry White Season, screenwriter, Euzhan Palcy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euzhan Palcy
Context triple: [A Dry White Season, screenwriter, Euzhan Palcy]
  • A. Euzhan Palcy chosen
    Euzhan Palcy is a pioneering Martinican filmmaker best known for her socially conscious dramas and for being the first Black woman to direct a Hollywood studio film.
  • B. Lynn Whitfield
    Lynn Whitfield is an American actress acclaimed for her powerful performances in film and television, notably her Emmy-winning portrayal of Josephine Baker.
  • C. Susaye Greene
    Susaye Greene is an American singer and songwriter best known as one of the later members of the legendary Motown group The Supremes.
  • D. Cicely Tyson
    Cicely Tyson was an acclaimed American actress renowned for her powerful, trailblazing portrayals of strong Black women in film, television, and theater.
  • E. Angela Bettis
    Angela Bettis is an American actress and filmmaker best known for her roles in psychological horror films such as "May" and the 2002 television adaptation of "Carrie."
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5e027881908f610f5bab7598d4 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a175a48190b596ea4cf917e80e completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.