Triple

T21392884
Position Surface form Disambiguated ID Type / Status
Subject Mariano Paredes y Arrillaga E527702 entity
Predicate givenName P17 FINISHED
Object Mariano 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: Mariano | Statement: [Mariano Paredes y Arrillaga, givenName, Mariano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariano
Context triple: [Mariano Paredes y Arrillaga, 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 Roque Alonso
    Mariano Roque Alonso is a city in Paraguay known for its strategic location near the capital Asunción and its role as a commercial and industrial hub.
  • C. Mariano Osorio
    Mariano Osorio was a Spanish military officer best known for leading royalist forces against Chilean patriots during the Chilean War of Independence.
  • D. Filiberto
    Filiberto was a Puerto Rican nationalist and militant leader associated with the Puerto Rican independence movement.
  • E. Mariano Casanova
    Mariano Casanova was a Chilean Catholic archbishop and influential church leader known for his role in shaping modern Catholic education in Chile.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1159a888190aabb5c2a9268bd06 completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.