Triple

T2834198
Position Surface form Disambiguated ID Type / Status
Subject Cuban Art Factory E62310 entity
Predicate artisticDirector P255 FINISHED
Object X Alfonso E306257 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: X Alfonso | Statement: [Cuban Art Factory, artisticDirector, X Alfonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: X Alfonso
Context triple: [Cuban Art Factory, artisticDirector, X Alfonso]
  • A. X Alfonso chosen
    X Alfonso is a Cuban musician and cultural entrepreneur best known for his influential role in Havana’s contemporary arts scene.
  • B. Alfonso
    Alfonso is a masculine given name of Spanish and Italian origin historically borne by numerous kings, nobles, and notable figures across Europe.
  • C. Fernando
    "Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
  • D. Fernando
    Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
  • E. Manuel
    Manuel is the given name of Manny Ramirez, the former Major League Baseball star known for his powerful hitting and tenure with the Boston Red Sox.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec18b808190aedae2ed11d53b15 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03133de8c8190942c727b89c81b28 completed March 10, 2026, 2:56 p.m.
Created at: March 6, 2026, 10:01 p.m.