Triple

T2645013
Position Surface form Disambiguated ID Type / Status
Subject Knight of Cups E62962 entity
Predicate hasCastMember P2308 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: [Knight of Cups, hasCastMember, Freida Pinto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freida Pinto
Context triple: [Knight of Cups, hasCastMember, 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. 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."
  • C. 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."
  • D. Deepika Padukone
    Deepika Padukone is a leading Indian film actress and producer, internationally recognized for her work in Bollywood and Hollywood as well as her advocacy for mental health awareness.
  • E. Alicia Vikander
    Alicia Vikander is a Swedish actress known for her acclaimed performances in films such as "Ex Machina," "The Danish Girl," and "Tomb Raider."
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd917192081908e7a2cf780a17b83 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c50d108190b716dd51c34d3759 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.