Triple

T15960662
Position Surface form Disambiguated ID Type / Status
Subject Juan Luna E387049 entity
Predicate fullName P16 FINISHED
Object Juan Luna y Novicio E387049 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: Juan Luna y Novicio | Statement: [Juan Luna, fullName, Juan Luna y Novicio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Luna y Novicio
Context triple: [Juan Luna, fullName, Juan Luna y Novicio]
  • A. Juan Luna chosen
    Juan Luna was a renowned Filipino painter, sculptor, and political activist best known for his masterpieces such as "Spoliarium" and his role in the Philippine reform movement during the Spanish colonial period.
  • B. Lope de Luna
    Lope de Luna was a prominent 14th-century Aragonese nobleman and influential political figure in the Crown of Aragon.
  • C. Rufino
    Rufino is a masculine given name, commonly used in Spanish and Portuguese, that is cognate with the Latin-derived name Rufus.
  • D. Malaunay
    Malaunay is a small commune in the Normandy region of northern France, situated near the city of Rouen.
  • E. Rufino Santos
    Rufino Santos was a prominent Filipino cardinal who became the first Filipino prince of the Catholic Church and played a key role in shaping the modern Catholic hierarchy in the Philippines.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ff4cdc81908db31394eaa191bc completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.