Triple

T21288095
Position Surface form Disambiguated ID Type / Status
Subject Joseline Hernandez E524714 entity
Predicate familyName P18 FINISHED
Object Hernandez 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: Hernandez | Statement: [Joseline Hernandez, familyName, Hernandez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hernandez
Context triple: [Joseline Hernandez, familyName, Hernandez]
  • A. Hernández chosen
    Hernández is a common Spanish surname borne by numerous notable figures across sports, arts, and public life.
  • B. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • C. Henríquez
    Henríquez is a Spanish-language surname commonly found in Latin American countries and among people of Hispanic heritage.
  • D. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • E. Almendárez
    Almendárez is the family surname of American actress Francia Raisa, known for her roles in television and film.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.