Triple

T18956997
Position Surface form Disambiguated ID Type / Status
Subject Martín Cortés E463805 entity
Predicate familyName P18 FINISHED
Object Cortés 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: Cortés | Statement: [Martín Cortés, familyName, Cortés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cortés
Context triple: [Martín Cortés, familyName, Cortés]
  • A. Hernán Cortés
    Hernán Cortés was a Spanish conquistador best known for leading the expedition that caused the fall of the Aztec Empire and brought large portions of mainland Mexico under Spanish rule in the early 16th century.
  • B. Cortes
    The Cortes were representative assemblies in medieval Spain that brought together nobles, clergy, and later commoners to advise the monarch and approve matters such as taxation and legislation.
  • C. Cortes chosen
    Cortes is a Spanish-language surname most famously associated with the conquistador Hernán Cortés and his descendants.
  • D. Cortes
    The Cortes was the representative legislative assembly of the United Kingdom of Portugal, Brazil and the Algarves during the early 19th century constitutional period.
  • E. Cortes
    Cortes is a historic central neighborhood in Madrid known for its cultural institutions, literary heritage, and proximity to major art museums.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cee8348190b6506b10aed6c58a completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon