Triple

T13694402
Position Surface form Disambiguated ID Type / Status
Subject No Good Deed E328346 entity
Predicate starring P1507 FINISHED
Object Kate del Castillo E420164 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: Kate del Castillo | Statement: [No Good Deed, starring, Kate del Castillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate del Castillo
Context triple: [No Good Deed, starring, Kate del Castillo]
  • A. Kate del Castillo chosen
    Kate del Castillo is a Mexican actress best known internationally for her leading roles in telenovelas and the crime drama series "La Reina del Sur."
  • B. Lorena Bernal
    Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
  • C. Salma Hayek
    Salma Hayek is a Mexican-American actress and producer renowned for her breakthrough roles in 1990s action and drama films and her Academy Award–nominated performance in "Frida."
  • D. Ángela Molina
    Ángela Molina is a renowned Spanish actress known for her work in European art-house cinema and collaborations with prominent directors such as Luis Buñuel.
  • E. Yalitza Aparicio
    Yalitza Aparicio is a Mexican actress and former preschool teacher who gained international acclaim and an Academy Award nomination for her debut performance in Alfonso Cuarón’s film "Roma."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.