Triple

T11402351
Position Surface form Disambiguated ID Type / Status
Subject Luna Encinas Cruz E270143 entity
Predicate mother P120 FINISHED
Object Penélope Cruz E71824 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: Penélope Cruz | Statement: [Luna Encinas Cruz, mother, Penélope Cruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penélope Cruz
Context triple: [Luna Encinas Cruz, mother, Penélope Cruz]
  • A. Penélope Cruz chosen
    Penélope Cruz is an acclaimed Spanish actress known for her versatile performances in both European and Hollywood cinema, including collaborations with director Pedro Almodóvar and roles in films such as "Vicky Cristina Barcelona."
  • B. Paz Vega
    Paz Vega is a Spanish actress known for her roles in films such as "Sex and Lucía," "Spanglish," and various international productions.
  • C. Mónica Bardem
    Mónica Bardem is a Spanish actress and member of the Bardem family, known for her work in film and television.
  • D. Kate del Castillo
    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."
  • E. Pilar Bardem
    Pilar Bardem was a Spanish actress and prominent member of the Bardem acting family, known for her extensive film and television career and her activism.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b834cee48190ac09c1e1df4c12d0 completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.