Triple

T7178672
Position Surface form Disambiguated ID Type / Status
Subject Juliana Guillermo E167385 entity
Predicate father P120 FINISHED
Object Jorge Guillermo E164397 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: Jorge Guillermo | Statement: [Juliana Guillermo, father, Jorge Guillermo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorge Guillermo
Context triple: [Juliana Guillermo, father, Jorge Guillermo]
  • A. Jorge Guillermo chosen
    Jorge Guillermo is a Cuban-born American educator and former husband of Princess Christina of the Netherlands.
  • B. Julián Felipe
    Julián Felipe was a Filipino composer best known for writing the music of the Philippine national anthem.
  • C. Nicolás Bobadilla
    Nicolás Bobadilla was a 16th-century Spanish priest and one of the original companions of Ignatius of Loyola who helped establish the early Jesuit order.
  • D. Aníbal González
    Aníbal González was a prominent Spanish architect best known for his influential regionalist works in Seville during the early 20th century.
  • E. 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.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8b8241081908edb5b5a5c35d4d3 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b92f3d748190ab2a3694420b5724 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:49 p.m.