Triple

T8408907
Position Surface form Disambiguated ID Type / Status
Subject Mauricio Macri E198571 entity
Predicate givenName P17 FINISHED
Object Mauricio E231289 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: Mauricio | Statement: [Mauricio Macri, givenName, Mauricio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauricio
Context triple: [Mauricio Macri, givenName, Mauricio]
  • A. Mauricio chosen
    Mauricio is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, derived from the Latin name Mauritius.
  • B. Jorge Guillermo
    Jorge Guillermo is a Cuban-born American educator and former husband of Princess Christina of the Netherlands.
  • C. Fernando Cayo
    Fernando Cayo is a Spanish film, television, and stage actor known internationally for roles in works such as the horror film "The Orphanage" and the series "Money Heist."
  • D. Felipe Luciano
    Felipe Luciano is an American poet, activist, and media personality best known as a founding member of the Nuyorican movement and an early voice in politically charged spoken-word performance.
  • E. Julián Felipe
    Julián Felipe was a Filipino composer best known for writing the music of the Philippine national anthem.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8315a8a8819097f6da11b909b527 completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce030dccf08190a70c0abf0bdcf244 completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.