Triple

T6014931
Position Surface form Disambiguated ID Type / Status
Subject Berlin E133927 entity
Predicate portrayedBy P1507 FINISHED
Object Pedro Alonso E115000 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: Pedro Alonso | Statement: [Berlin, portrayedBy, Pedro Alonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pedro Alonso
Context triple: [Berlin, portrayedBy, Pedro Alonso]
  • A. Pedro Alonso chosen
    Pedro Alonso is a Spanish actor best known internationally for his role as Berlin in the hit television series "Money Heist" (La Casa de Papel).
  • B. Alberto Manrique Martín
    Alberto Manrique Martín was an architect known for his role in designing Colombia’s National Capitol building in Bogotá.
  • C. Antonio Cruz Villalón
    Antonio Cruz Villalón is a Spanish architect best known as a co-founder of the renowned architectural firm Cruz y Ortiz Arquitectos, recognized for its contemporary public and cultural buildings.
  • D. Lorenzo Daza
    Lorenzo Daza is a character in Gabriel García Márquez’s novel "Love in the Time of Cholera," known as the ambitious and socially aspiring father of Fermina Daza.
  • E. Juan Luis
    Juan Luis is a Spanish given name commonly used in Hispanic countries, often associated with notable figures in religion, arts, and public life.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f80ec108190ae9711727debb061 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108ade3948190994fbaa2a5539216 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.