Triple

T15111470
Position Surface form Disambiguated ID Type / Status
Subject Giuseppe Terragni E360921 entity
Predicate givenName P17 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: [Giuseppe Terragni, givenName, Giuseppe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuseppe
Context triple: [Giuseppe Terragni, givenName, 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. Gaetano
    Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • C. Beniamino
    Beniamino is the Italian form of the given name Benjamin, commonly used in Italy and among Italian speakers.
  • D. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • E. 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.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058d786c8190937c6819255c01bd completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3b3fc0819094daf892200bd1ac completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:05 a.m.