Triple

T11434972
Position Surface form Disambiguated ID Type / Status
Subject Silvio Amato E270981 entity
Predicate givenName P17 FINISHED
Object Silvio E92780 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: Silvio | Statement: [Silvio Amato, givenName, Silvio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silvio
Context triple: [Silvio Amato, givenName, 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. Bonnanaro
    Bonnanaro is a small municipality in northern Sardinia, Italy, known for its archaeological sites and traditional rural character.
  • C. 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.
  • D. Napolitano
    Napolitano is an Italian surname commonly associated with individuals of Italian heritage, including notable figures in politics, academia, and organized crime history.
  • E. Rutelli
    Rutelli is an Italian surname most prominently associated with Francesco Rutelli, a notable Italian politician and former Mayor of Rome.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d379f8d48190860a1ef98505c42e completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.