Triple

T4890844
Position Surface form Disambiguated ID Type / Status
Subject Mariano Casanova E109555 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 Casanova, givenName, Mariano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariano
Context triple: [Mariano Casanova, 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. 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.
  • E. Teodoro
    Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e07ca10819083f80f12374544b1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef8be078819094cbf65b0fcdf8dd completed March 21, 2026, 7:20 p.m.
Created at: March 20, 2026, 1:28 p.m.