Triple

T1167716
Position Surface form Disambiguated ID Type / Status
Subject Julian E24836 entity
Predicate hasVariant P455 FINISHED
Object Juliano E135120 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: Juliano | Statement: [Julian, hasVariant, Juliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliano
Context triple: [Julian, hasVariant, Juliano]
  • A. Julio
    Julio is the given name of Julio Antonio Mella, a prominent early 20th-century Cuban communist leader and co-founder of the Cuban Communist Party.
  • B. Giuliano chosen
    Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
  • C. Lúcio
    Lúcio is a Brazilian architect and urban planner best known as the principal designer of Brasília, the country’s modernist capital city.
  • D. Giulio
    Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
  • E. Horácio
    Horácio is the Portuguese form of the name Horace, historically associated with the Roman poet Quintus Horatius Flaccus.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccef84481908864e819884af86c completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a02ba081908e0036a9d8bfc9f2 completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:45 p.m.