Triple

T13687931
Position Surface form Disambiguated ID Type / Status
Subject Caterina Sforza E328181 entity
Predicate opponent P437 FINISHED
Object House of Borgia E140800 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: House of Borgia | Statement: [Caterina Sforza, opponent, House of Borgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: House of Borgia
Context triple: [Caterina Sforza, opponent, House of Borgia]
  • A. House of Borgia chosen
    The House of Borgia was a powerful and controversial Italian-Spanish noble family of the Renaissance, notorious for its political ambition, alleged corruption, and influence over the papacy.
  • B. The Borgias
    The Borgias is a historical drama television series that chronicles the ruthless rise and reign of the infamous Borgia family during the Italian Renaissance.
  • C. La Rose de l’infante
    La Rose de l’infante is a narrative poem by Victor Hugo, included in his monumental collection La Légende des siècles, that blends historical evocation with lyrical and symbolic themes.
  • D. Las Rosas
    Las Rosas is a settlement located within the municipality of El Rosario, likely a small town or village in a Spanish-speaking region.
  • E. Las Rosas
    Las Rosas is a Madrid Metro station serving the Las Rosas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944981ec8190be5ff39b7c2c70ab completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.