Triple

T13700790
Position Surface form Disambiguated ID Type / Status
Subject L’uomo che ama E328510 entity
Predicate castMember P1668 FINISHED
Object Marisa Paredes E843050 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: Marisa Paredes | Statement: [L’uomo che ama, castMember, Marisa Paredes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marisa Paredes
Context triple: [L’uomo che ama, castMember, Marisa Paredes]
  • A. Marisa Paredes chosen
    Marisa Paredes is a renowned Spanish actress best known for her frequent collaborations with director Pedro Almodóvar and her prominent roles in European cinema.
  • B. Marta Ornelas
    Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
  • C. Andrea Salinas
    Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
  • D. Irene Paredes
    Irene Paredes is a Spanish professional footballer and central defender renowned for her leadership and defensive prowess at both club and international level.
  • E. Marisa Ramirez
    Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
  • 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_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9c41908190b789765861bd9924 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 9:54 p.m.