Triple

T23032788
Position Surface form Disambiguated ID Type / Status
Subject King Richard E573508 entity
Predicate stars P1956 FINISHED
Object Saniyya Sidney 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: Saniyya Sidney | Statement: [King Richard, stars, Saniyya Sidney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saniyya Sidney
Context triple: [King Richard, stars, Saniyya Sidney]
  • A. Saniyya Sidney chosen
    Saniyya Sidney is an American actress known for her acclaimed performances in films like "Fences" and "Hidden Figures" and the TV series "The Passage."
  • B. Shani Wallis
    Shani Wallis is a British actress and singer best known for her role as Nancy in the classic 1968 film musical "Oliver!".
  • C. Sydney Penny
    Sydney Penny is an American actress best known for her roles in film and television, including prominent performances in Westerns and daytime soap operas.
  • D. Ruby Nash
    Ruby Nash is an American singer best known as the lead vocalist of the 1960s R&B group Ruby & the Romantics, famed for their hit "Our Day Will Come."
  • E. Charlotte Ayanna
    Charlotte Ayanna is a Puerto Rican–American actress and former Miss Teen USA best known for roles in films such as "Training Day," "Love the Hard Way," and "Jawbreaker."
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18482e78c8190a89681eec2edb812 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.