Triple

T5127675
Position Surface form Disambiguated ID Type / Status
Subject Nairobi E115622 entity
Predicate portrayedBy P1507 FINISHED
Object Alba Flores E134215 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: Alba Flores | Statement: [Nairobi, portrayedBy, Alba Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alba Flores
Context triple: [Nairobi, portrayedBy, Alba Flores]
  • A. Alba Flores chosen
    Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the television series "Money Heist" (La Casa de Papel).
  • B. Cristina Banegas
    Cristina Banegas is an acclaimed Argentine actress and director recognized internationally for her powerful performances in film, television, and theater.
  • C. Marta Navarro
    Marta Navarro is a personal name that may refer to multiple individuals across different fields, such as sports, arts, or public life, rather than a single widely recognized figure.
  • D. Pilar Arcos
    Pilar Arcos was a Spanish-born singer and actress active in early 20th-century American cinema and radio, known for her roles in silent films and Spanish-language productions.
  • E. Pilar García
    Pilar García was a high-ranking Cuban military and police officer who became notorious for his role in repressing opposition under Fulgencio Batista’s dictatorship.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd782428a081909583c7f368226daf completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee06d63f8819081db05c0e5a06276 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:42 p.m.