Triple

T8440347
Position Surface form Disambiguated ID Type / Status
Subject Mariano Rajoy E199335 entity
Predicate givenName P17 FINISHED
Object Mariano E119168 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: Mariano | Statement: [Mariano Rajoy, givenName, Mariano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariano
Context triple: [Mariano Rajoy, givenName, Mariano]
  • A. Mariano chosen
    Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
  • B. Mariano Osorio
    Mariano Osorio was a Spanish military officer best known for leading royalist forces against Chilean patriots during the Chilean War of Independence.
  • C. Mariano Casanova
    Mariano Casanova was a Chilean Catholic archbishop and influential church leader known for his role in shaping modern Catholic education in Chile.
  • D. Manuel Ortiz de Zárate
    Manuel Ortiz de Zárate was a prominent colonial-era figure in New Granada who played a leading role in organizing and directing the Comunero Revolt against Spanish authorities.
  • E. Juan Manuel de Ayala
    Juan Manuel de Ayala was an 18th-century Spanish naval officer and explorer credited with one of the first European chartings of San Francisco Bay.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13708988190a534e38d8254c9bd completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea82225148190b9dd190655114c8a completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:08 p.m.