Triple

T5670848
Position Surface form Disambiguated ID Type / Status
Subject Giorgio Basta E124971 entity
Predicate givenName P17 FINISHED
Object Giorgio E111900 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: Giorgio | Statement: [Giorgio Basta, givenName, Giorgio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giorgio
Context triple: [Giorgio Basta, givenName, Giorgio]
  • A. Giorgio chosen
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • B. Maurizio
    Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
  • C. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • D. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • E. Gianni
    Gianni is an Italian given name commonly used for men, often as a diminutive of Giovanni.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02349b570819090f754a2f25e4cf3 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124e449d481909a6aa8e1c6494322 completed March 23, 2026, 11:32 a.m.
Created at: March 22, 2026, 3:43 p.m.