Triple

T21254727
Position Surface form Disambiguated ID Type / Status
Subject De Leon E523837 entity
Predicate hasVariant P455 FINISHED
Object de Leon 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: de Leon | Statement: [De Leon, hasVariant, de Leon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Leon
Context triple: [De Leon, hasVariant, de Leon]
  • A. de León
    De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
  • B. De Leon chosen
    De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
  • C. De Los Reyes
    De Los Reyes is a Spanish-language surname commonly borne by individuals of Hispanic heritage.
  • D. Cayetano
    Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
  • E. De La Cruz
    De La Cruz is a Hispanic surname commonly found in Spanish-speaking communities and among people of Latin American descent.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0e7dc8190b591b5b6786ce619 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.