Triple

T22560977
Position Surface form Disambiguated ID Type / Status
Subject Sergio Pitol E557812 entity
Predicate givenName P17 FINISHED
Object Sergio NE NERFINISHED

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: Sergio | Statement: [Sergio Pitol, givenName, Sergio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergio
Context triple: [Sergio Pitol, givenName, Sergio]
  • A. Sergio chosen
    Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • B. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • C. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • D. Jorge
    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 (2 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa5f4008190921095b7aff4f4e2 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.