Triple

T15074741
Position Surface form Disambiguated ID Type / Status
Subject Prince Royce E379969 entity
Predicate familyName P18 FINISHED
Object Rojas E243504 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: Rojas | Statement: [Prince Royce, familyName, Rojas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rojas
Context triple: [Prince Royce, familyName, Rojas]
  • A. Rojas chosen
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • B. Mejía
    Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
  • C. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • D. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • E. Covarrubias
    Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fb60448190b454386dd762644d completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae13f76881908485b3507b380799 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:02 a.m.