Triple

T17579754
Position Surface form Disambiguated ID Type / Status
Subject Silvano E428169 entity
Predicate hasVariant P455 FINISHED
Object Silvio 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: Silvio | Statement: [Silvano, hasVariant, Silvio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silvio
Context triple: [Silvano, hasVariant, Silvio]
  • A. Silvio chosen
    Silvio is a masculine given name of Latin origin, commonly used in Italian- and Spanish-speaking countries and derived from the word for "forest" or "woods."
  • B. Silvio Francesco
    Silvio Francesco was an Italian singer and guitarist known for performing and recording with his sister, the internationally acclaimed entertainer Caterina Valente.
  • C. Dante Meloni
    Dante Meloni is the son of American actor Christopher Meloni, known for his role on the television series "Law & Order: Special Victims Unit."
  • D. Bonnanaro
    Bonnanaro is a small municipality in northern Sardinia, Italy, known for its archaeological sites and traditional rural character.
  • E. Enrico Fumia
    Enrico Fumia is an Italian car designer best known for his influential work on several Alfa Romeo models and other notable automotive projects.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cc493c8190965680cf786aa531 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.