Triple

T8034381
Position Surface form Disambiguated ID Type / Status
Subject Alfonso, Prince of Asturias E187067 entity
Predicate givenName P17 FINISHED
Object Alfonso E162427 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: Alfonso | Statement: [Alfonso, Prince of Asturias, givenName, Alfonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfonso
Context triple: [Alfonso, Prince of Asturias, givenName, Alfonso]
  • A. Alfonso chosen
    Alfonso is a masculine given name of Spanish and Italian origin historically borne by numerous kings, nobles, and notable figures across Europe.
  • B. X Alfonso
    X Alfonso is a Cuban musician and cultural entrepreneur best known for his influential role in Havana’s contemporary arts scene.
  • C. Alfonso d’Aragona
    Alfonso d’Aragona was a Neapolitan nobleman and member of the Aragonese royal dynasty of Naples, active in the late 15th and early 16th centuries.
  • D. Fernando
    "Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
  • E. Fernando
    Fernando is the given name of Fernando Primo de Rivera, a 19th-century Spanish general and politician who briefly served as Prime Minister of Spain.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef50f4c8190a895ac301f182734 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cb39a48190b4d987295b5aa1b2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:22 p.m.