Triple

T15846609
Position Surface form Disambiguated ID Type / Status
Subject Priscilla E384230 entity
Predicate producer P490 FINISHED
Object Youree Henley E102507 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: Youree Henley | Statement: [Priscilla, producer, Youree Henley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youree Henley
Context triple: [Priscilla, producer, Youree Henley]
  • A. Youree Henley chosen
    Youree Henley is a film producer known for his work on acclaimed independent and studio films, including the Fred Rogers–inspired drama "A Beautiful Day in the Neighborhood."
  • B. Rena Haley
    Rena Haley is the daughter of former South Carolina governor and U.S. ambassador to the United Nations Nikki Haley.
  • C. Aubrey Peeples
    Aubrey Peeples is an American actress and singer best known for her roles in the TV series "Nashville" and films such as "Jem and the Holograms."
  • D. Talisha Searcy
    Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
  • E. Keely Shaye Smith
    Keely Shaye Smith is an American journalist, author, television host, and environmental activist, best known for her work in environmental advocacy and media.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa143dcb48190951648edeae6542d completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.