Triple

T20008000
Position Surface form Disambiguated ID Type / Status
Subject Salva E494508 entity
Predicate realName P9233 FINISHED
Object Sergio Marquina 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: Sergio Marquina | Statement: [Salva, realName, Sergio Marquina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergio Marquina
Context triple: [Salva, realName, Sergio Marquina]
  • A. Sergio Marquina chosen
    Sergio Marquina is the criminal mastermind known as "The Professor" who orchestrates the central heists in the Spanish television series *Money Heist* (*La Casa de Papel*).
  • B. Jorge Segurado
    Jorge Segurado was a Portuguese architect known for his significant role in shaping early 20th-century Portuguese architecture, including major national exhibitions and public works.
  • C. Eduardo Carrasco
    Eduardo Carrasco is a Chilean musician, philosopher, and former leader of the political folk group Quilapayún, known for his role in the Nueva Canción Chilena movement.
  • D. Luis Huergo
    Luis Huergo was an influential Argentine civil engineer and the country’s first graduate in that field, known for major infrastructure and port works in Buenos Aires.
  • E. Antonio Reynoso
    Antonio Reynoso is an American politician and community advocate who serves as the Borough President of Brooklyn, New York City.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a7500481908b69f74e479f88c8 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.