Triple

T10159152
Position Surface form Disambiguated ID Type / Status
Subject Guglielmo E233843 entity
Predicate hasDiminutive P456 FINISHED
Object Guglielmino E239819 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: Guglielmino | Statement: [Guglielmo, hasDiminutive, Guglielmino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guglielmino
Context triple: [Guglielmo, hasDiminutive, Guglielmino]
  • A. Guglielmino chosen
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • B. Giulianino
    Giulianino is an Italian diminutive given name, typically used as an affectionate or smaller form of Giuliano.
  • C. Manfredi
    Manfredi is an architect best known as one of the co-founders and principals of the New York–based architecture firm Weiss/Manfredi.
  • D. Giannino
    Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
  • E. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3176ac9388190bc76b3cffce93a3d completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:09 p.m.