Triple

T18454836
Position Surface form Disambiguated ID Type / Status
Subject Manuel de Arriaga E450875 entity
Predicate familyName P18 FINISHED
Object de Arriaga 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 Arriaga | Statement: [Manuel de Arriaga, familyName, de Arriaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Arriaga
Context triple: [Manuel de Arriaga, familyName, de Arriaga]
  • A. de Arriaga chosen
    de Arriaga is a Spanish-origin surname notably borne by Manuel de Arriaga, the first elected president of the Portuguese Republic.
  • B. Vérgez Alzaga
    Vérgez Alzaga is the compound Spanish surname of Cardinal Fernando Vérgez Alzaga, a high-ranking prelate of the Roman Catholic Church.
  • C. Fernando Vérgez Alzaga
    Fernando Vérgez Alzaga is a Spanish Catholic prelate and cardinal who serves in senior administrative leadership within the Vatican.
  • D. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • E. de Madariaga
    De Madariaga is a Spanish surname most notably associated with Salvador de Madariaga, a prominent diplomat, writer, and advocate of European integration.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264b200c8190be2e79ca5ea0b082 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.