Triple

T16972820
Position Surface form Disambiguated ID Type / Status
Subject Alfonso Albéniz E411728 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 Albéniz, givenName, Alfonso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfonso
Context triple: [Alfonso Albéniz, 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. Alfonso
    Alfonso is a municipality in the province of Cavite in the Philippines, known for its cool climate and proximity to Tagaytay.
  • C. Alfonso Royal
    Alfonso Royal is a central fictional figure around whom the narrative of "The Royal Family" revolves.
  • D. Alfonso the Battler
    Alfonso the Battler was a 12th-century King of Aragon and Navarre renowned for his relentless military campaigns during the Reconquista against Muslim-ruled territories in the Iberian Peninsula.
  • E. Alfonso the Chaste
    Alfonso the Chaste was a 12th-century King of Aragon and Count of Barcelona known for consolidating his realms and promoting the expansion of Christian rule in the Iberian Peninsula.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ae47f08190a13e98d20aba7f16 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:31 a.m.