Triple

T21166450
Position Surface form Disambiguated ID Type / Status
Subject Jaime Trueba E521575 entity
Predicate hasRelative P367 FINISHED
Object Alba Trueba NE NERFINISHED

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: Alba Trueba | Statement: [Jaime Trueba, hasRelative, Alba Trueba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alba Trueba
Context triple: [Jaime Trueba, hasRelative, Alba Trueba]
  • A. Alba Trueba chosen
    Alba Trueba is a central protagonist in Isabel Allende’s novel "The House of the Spirits," representing the third generation of the Trueba family and embodying themes of memory, resistance, and political upheaval in Chile.
  • B. Pilar Juncosa
    Pilar Juncosa was the wife of Catalan surrealist painter Joan Miró and a key supporter and manager of his artistic legacy.
  • C. María Saura
    María Saura is the daughter of renowned Spanish film director Carlos Saura.
  • D. Alicia Sierra
    Alicia Sierra is a ruthless and cunning police inspector in the Spanish series "Money Heist," known for her relentless pursuit of the Professor and his gang.
  • E. Paula Blasco
    Paula Blasco is a central teenage character in the Spanish television drama series "Física o química," known for her complex personal relationships and coming-of-age storylines within the show’s high school setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270efe3081908a50fc601c2f958c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.