Triple

T12361237
Position Surface form Disambiguated ID Type / Status
Subject Hillbilly Elegy E294740 entity
Predicate stars P1956 FINISHED
Object Freida Pinto E243953 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: Freida Pinto | Statement: [Hillbilly Elegy, stars, Freida Pinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freida Pinto
Context triple: [Hillbilly Elegy, stars, Freida Pinto]
  • A. Freida Pinto chosen
    Freida Pinto is an Indian actress and model who gained international recognition for her breakout role in the Academy Award–winning film "Slumdog Millionaire."
  • B. Kiran Rao
    Kiran Rao is an Indian film producer, director, and screenwriter known for her work in Hindi cinema and for co-producing acclaimed films such as "Dhobi Ghat" and "Delhi Belly."
  • C. Konkona Sen Sharma
    Konkona Sen Sharma is an acclaimed Indian actress and filmmaker known for her powerful performances in parallel and mainstream Hindi and Bengali cinema.
  • D. Carmen Ejogo
    Carmen Ejogo is a British actress and singer known for her versatile film and television roles, including her acclaimed portrayal of Coretta Scott King in the historical drama "Selma."
  • E. Rooney Mara
    Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f91a1908190a8a4fa9da3b47933 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab9ea4c81908313b11716ad7c43 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.