Triple

T1108634
Position Surface form Disambiguated ID Type / Status
Subject Barbie (2023 film) E25542 entity
Predicate starring P1507 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: [Barbie (2023 film), starring, America Ferrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: America Ferrera
Context triple: [Barbie (2023 film), starring, 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. Silvia Navarro
    Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
  • C. Catalina Cortés
    Catalina Cortés was a daughter of the Spanish conquistador Hernán Cortés, associated with the lineage of one of the most influential figures in the conquest of the Aztec Empire.
  • D. Ivana Baquero
    Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
  • E. Michelle Navarro
    Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53935d108190955343cd1d3716b0 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.