Triple

T2539594
Position Surface form Disambiguated ID Type / Status
Subject Antonio E56351 entity
Predicate hasDiminutive P456 FINISHED
Object Tonio E151238 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: Tonio | Statement: [Antonio, hasDiminutive, Tonio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonio
Context triple: [Antonio, hasDiminutive, Tonio]
  • A. Tonio chosen
    Tonio is a diminutive form of the given name Anton, commonly used as an affectionate or informal nickname.
  • B. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • C. Carlo
    Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
  • D. Tonio Kröger
    Tonio Kröger is a novella by Thomas Mann that explores the inner conflict of an artist torn between bourgeois respectability and bohemian creativity.
  • E. Camillo
    Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cff8d188190844b177b5d3952b0 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.