Triple

T10237563
Position Surface form Disambiguated ID Type / Status
Subject Rojas E243504 entity
Predicate hasVariant P455 FINISHED
Object de 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: de Rojas | Statement: [Rojas, hasVariant, de Rojas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Rojas
Context triple: [Rojas, hasVariant, de Rojas]
  • A. Gonzalo Rojas
    Gonzalo Rojas was a prominent Chilean poet known for his innovative, surrealist-influenced verse and his significant contribution to 20th-century Latin American literature.
  • B. Rojas chosen
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • C. Núñez Vela
    Núñez Vela is a Spanish surname most notably associated with Blasco Núñez Vela, the first viceroy of Peru in the 16th century.
  • D. Manuel Rojas
    Manuel Rojas was the husband of American film actress and model Martha Vickers.
  • E. Manuel Rojas
    Manuel Rojas was a 19th-century Puerto Rican revolutionary best known for leading the Grito de Lares uprising for the island’s independence from Spanish colonial rule.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21b64c88190b708c20ca7fe20aa completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f76ca8848190a49d7dc76cf9dd35 completed April 9, 2026, 12:48 a.m.
Created at: April 6, 2026, 11:23 a.m.