Triple

T18312816
Position Surface form Disambiguated ID Type / Status
Subject Renato Brunetta E438671 entity
Predicate givenName P17 FINISHED
Object Renato 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: Renato | Statement: [Renato Brunetta, givenName, Renato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renato
Context triple: [Renato Brunetta, givenName, Renato]
  • A. Renato chosen
    Renato is a masculine given name of Latin origin, commonly used in Italian, Portuguese, and Spanish-speaking countries.
  • B. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • C. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • D. Giovanni Capurro
    Giovanni Capurro was an Italian poet and songwriter best known for writing the lyrics to the famous Neapolitan song "'O Sole Mio."
  • E. Leonardo Favio
    Leonardo Favio was a renowned Argentine filmmaker, actor, and singer-songwriter celebrated for his influential, socially conscious films and enduring impact on Latin American cinema.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021a96b48190976273be3ff3e5c6 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.