Triple

T16367772
Position Surface form Disambiguated ID Type / Status
Subject O Primo Basílio E397478 entity
Predicate hasCharacter P2308 FINISHED
Object Jorge E1210629 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 | Statement: [O Primo Basílio, hasCharacter, Jorge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jorge
Context triple: [O Primo Basílio, hasCharacter, Jorge]
  • A. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • B. Jorge
    Jorge is a fictional character who appears in the Mexican film "Viridiana," directed by Luis Buñuel.
  • C. Jorge
    Jorge is a key supporting character and leader of a rebel group in James Dashner’s dystopian Maze Runner sequel "The Scorch Trials."
  • D. Jorge chosen
    Jorge is a central figure in Eça de Queirós’s realist novel "O Primo Basílio," embodying the bourgeois husband whose domestic life is upended by his wife’s adulterous affair.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00580fec0c8190b7fb73dbc637fb61 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:08 a.m.