Triple

T3331898
Position Surface form Disambiguated ID Type / Status
Subject Giuseppe E70050 entity
Predicate hasVariantForm P457 FINISHED
Object Giuseppone E70050 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: Giuseppone | Statement: [Giuseppe, hasVariantForm, Giuseppone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuseppone
Context triple: [Giuseppe, hasVariantForm, Giuseppone]
  • A. Tomasino
    Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
  • B. Pasquale
    Pasquale is an Italian masculine given name, traditionally associated with figures of Corsican and Italian heritage such as Pasquale Paoli.
  • C. Gualtiero
    Gualtiero is an Italian given name equivalent to the English name Walter.
  • D. Guglielmino
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • E. Giuseppe chosen
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb19358e48190a503af01b92273a4 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32514c2f48190b20b8975c96d32a7 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:12 p.m.