Triple

T18438622
Position Surface form Disambiguated ID Type / Status
Subject Jorge Gutiérrez E450462 entity
Predicate familyName P18 FINISHED
Object Gutiérrez 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: Gutiérrez | Statement: [Jorge Gutiérrez, familyName, Gutiérrez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutiérrez
Context triple: [Jorge Gutiérrez, familyName, Gutiérrez]
  • A. Gutiérrez chosen
    Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
  • B. González
    González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
  • C. Covarrubias
    Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
  • D. Covarrubias
    Covarrubias is a historic village in the province of Burgos, Spain, known for its medieval architecture and ties to Castilian nobility.
  • E. Herrera
    Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.