Triple

T10527921
Position Surface form Disambiguated ID Type / Status
Subject Imagen Award E248352 entity
Predicate notableRecipient P108 FINISHED
Object America Ferrera E75090 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: America Ferrera | Statement: [Imagen Award, notableRecipient, America Ferrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America Ferrera
Context triple: [Imagen Award, notableRecipient, America Ferrera]
  • A. America Ferrera chosen
    America Ferrera is an American actress and producer best known for her breakthrough title role in the television series "Ugly Betty" and for her work in film, television, and advocacy for Latinx representation.
  • B. Giovanna Ferrer
    Giovanna Ferrer is the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
  • C. Lorena Bernal
    Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
  • D. Elizabeth Peña
    Elizabeth Peña was an American actress known for her versatile film and television roles, including voicing the character Mirage in Pixar’s animated film "The Incredibles."
  • E. Angélica Fuentes
    Angélica Fuentes is a Mexican businesswoman and philanthropist known for her leadership in the energy and nutrition sectors and for being one of Latin America’s most influential female executives.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f6f4a88190ae6e0cc0bcbff0c5 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b1b0de8819089e39ec76e6bdf59 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:30 p.m.