Triple

T3474847
Position Surface form Disambiguated ID Type / Status
Subject Rodriguez E73346 entity
Predicate hasDiacriticVariant P457 FINISHED
Object Rodríguez E73346 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: Rodríguez | Statement: [Rodriguez, hasDiacriticVariant, Rodríguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodríguez
Context triple: [Rodriguez, hasDiacriticVariant, Rodríguez]
  • A. Rodriguez chosen
    Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
  • B. Ruiz
    Ruiz is a common Spanish-language surname borne by many notable individuals across sports, arts, and public life.
  • C. Sosa
    Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
  • D. Ramón Rodríguez
    Ramón Rodríguez is a Puerto Rican-American actor known for his roles in action and crime films and television series, including prominent parts in projects like "Transformers: Revenge of the Fallen" and "The Wire."
  • E. Ventura Rodríguez
    Ventura Rodríguez was an 18th-century Spanish architect and urban planner renowned for his influential role in shaping Madrid’s neoclassical architecture.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb580d4c819080bcc0bccd1e18e2 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b2058081908558bdea4043b051 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.