Triple

T16333992
Position Surface form Disambiguated ID Type / Status
Subject María Isabel Verdú Rollán E396627 entity
Predicate hasFamilyName P18 FINISHED
Object Verdú E357342 NE FINISHED

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: Verdú | Statement: [María Isabel Verdú Rollán, hasFamilyName, Verdú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verdú
Context triple: [María Isabel Verdú Rollán, hasFamilyName, Verdú]
  • A. Verdú chosen
    Verdú is a Spanish surname most notably borne by acclaimed film and television actress Maribel Verdú.
  • B. Verdu
    Verdu is a variant spelling of Verdú, a municipality in the province of Lleida in Catalonia, Spain, known for its historic pottery tradition and medieval architecture.
  • C. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • D. Dumbría
    Dumbría is a small municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and proximity to the rugged Atlantic coastline.
  • E. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e1da1081909bec6e77e6109dce completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026173dc081909e00f6647d1f68b3 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.