Triple

T21831890
Position Surface form Disambiguated ID Type / Status
Subject Leopoldo Boccherini E539015 entity
Predicate givenName P17 FINISHED
Object Leopoldo 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: Leopoldo | Statement: [Leopoldo Boccherini, givenName, Leopoldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopoldo
Context triple: [Leopoldo Boccherini, givenName, Leopoldo]
  • A. Leopoldo chosen
    Leopoldo is a masculine given name of Spanish and Italian origin, commonly used in Latin American and European countries.
  • B. Carlos María Isidro de Borbón
    Carlos María Isidro de Borbón was a Spanish infante and the leading Carlist pretender to the Spanish throne whose claims sparked the First Carlist War in the 19th century.
  • C. Príncipe Pío
    Príncipe Pío is a major transport hub and historic railway station in Madrid that connects commuter trains, metro lines, and buses near the city center.
  • D. Luis Antonio Jaime de Borbón y Farnesio
    Luis Antonio Jaime de Borbón y Farnesio was an 18th-century Spanish infante, cardinal, and patron of the arts from the Bourbon royal family.
  • E. Karlos Vianako Printzea
    Karlos Vianako Printzea is the Basque name for Charles, Prince of Viana, a 15th-century Navarrese royal heir known for his political struggles and cultural patronage.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f091362d9081909f00ad7a2806d5cb completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:55 p.m.