Triple

T3649856
Position Surface form Disambiguated ID Type / Status
Subject Joseph E77392 entity
Predicate hasVariant P455 FINISHED
Object Giuseppe 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: Giuseppe | Statement: [Joseph, hasVariant, Giuseppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuseppe
Context triple: [Joseph, hasVariant, Giuseppe]
  • A. Giuseppe chosen
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • B. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • C. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • D. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • E. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4dcd15c8190a763363adb7740c4 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:24 p.m.