Triple

T16418100
Position Surface form Disambiguated ID Type / Status
Subject Julius E398739 entity
Predicate hasVariant P455 FINISHED
Object Giulio E83901 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: Giulio | Statement: [Julius, hasVariant, Giulio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giulio
Context triple: [Julius, hasVariant, Giulio]
  • A. Giulio chosen
    Giulio is the given name of Giulio Douhet, an influential early 20th-century Italian air power theorist and general.
  • B. Giuliano
    Giuliano is an Italian given name, equivalent to Julian, commonly used for males in Italian-speaking regions.
  • C. Lucio
    Lucio is a popular support hero in the game Overwatch, known for his music-based abilities that heal and speed up teammates.
  • D. Lucio
    Lucio is a roguish, witty gentleman in Shakespeare’s play "Measure for Measure," known for his bawdy humor, moral hypocrisy, and role as a comic commentator on the play’s themes of justice and corruption.
  • E. Lucio
    Lucio is an Italian given name commonly used for men, derived from the Latin name Lucius meaning "light."
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457f60c081908f4e46993780ac09 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.