Triple

T20101446
Position Surface form Disambiguated ID Type / Status
Subject Anne-Dominique Correa E496551 entity
Predicate familyName P18 FINISHED
Object Correa 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: Correa | Statement: [Anne-Dominique Correa, familyName, Correa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Correa
Context triple: [Anne-Dominique Correa, familyName, Correa]
  • A. Correa chosen
    Correa is a Spanish-language surname borne by various notable individuals, including politicians, athletes, and artists across the Spanish-speaking world.
  • B. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • C. Mejía
    Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
  • D. Ruiz-Tagle
    Ruiz-Tagle is a Spanish-origin surname notably borne by Chilean political figures, including former president Eduardo Frei Ruiz-Tagle.
  • E. Correa-Milà
    Correa-Milà is an architectural firm known for its role in modernizing and adapting Barcelona’s historic Estadi Olímpic Lluís Companys.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.