Triple

T10699328
Position Surface form Disambiguated ID Type / Status
Subject Carlos Bardem E252228 entity
Predicate sibling P363 FINISHED
Object Mónica Bardem E881458 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: Mónica Bardem | Statement: [Carlos Bardem, sibling, Mónica Bardem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mónica Bardem
Context triple: [Carlos Bardem, sibling, Mónica Bardem]
  • A. Mónica Bardem chosen
    Mónica Bardem is a Spanish actress and member of the Bardem family, known for her work in film and television.
  • B. 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.
  • C. Paz Vega
    Paz Vega is a Spanish actress known for her roles in films such as "Sex and Lucía," "Spanglish," and various international productions.
  • D. Emilia Gorriarán
    Emilia Gorriarán was the mother of Cuban revolutionary figure Camilo Cienfuegos.
  • E. 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.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8abd7c81909c274aa1699a3695 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb703b1ec8190b11fbb381c929a90 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:12 p.m.