Triple

T8664489
Position Surface form Disambiguated ID Type / Status
Subject Elena Anaya E205630 entity
Predicate workedWith P398 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: [Elena Anaya, workedWith, Penélope Cruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penélope Cruz
Context triple: [Elena Anaya, workedWith, 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. 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."
  • D. 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.
  • E. 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."
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a0ae108190b33dadcc3cb18949 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0d95ec81908669ee35f0987be7 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.