Triple

T7547041
Position Surface form Disambiguated ID Type / Status
Subject Giorgio Vasari E178431 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 Vasari, givenName, Giorgio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giorgio
Context triple: [Giorgio Vasari, 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d69516a88190912a9574aef3d1f8 completed March 29, 2026, 7:36 a.m.
Created at: March 27, 2026, 3:49 p.m.