Triple

T14621871
Position Surface form Disambiguated ID Type / Status
Subject Julianna E343242 entity
Predicate hasVariant P455 FINISHED
Object Giuliana E567178 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: Giuliana | Statement: [Julianna, hasVariant, Giuliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuliana
Context triple: [Julianna, hasVariant, Giuliana]
  • A. Giuliana chosen
    Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
  • B. Patrizia
    Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
  • C. Letizia
    Letizia is a feminine given name of Italian origin, famously borne by Maria Letizia Ramolino, the mother of Napoleon Bonaparte.
  • D. Lelia
    Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
  • E. Giuseppina
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92688a08190bb27434acc7c12e7 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.