Triple

T3363731
Position Surface form Disambiguated ID Type / Status
Subject Bertrando E70783 entity
Predicate hasVariantForm P457 FINISHED
Object Beltrando E70783 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: Beltrando | Statement: [Bertrando, hasVariantForm, Beltrando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beltrando
Context triple: [Bertrando, hasVariantForm, Beltrando]
  • A. Bertrando chosen
    Bertrando is an Italian given name and surname, historically borne by several notable figures including nobles and churchmen.
  • B. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • C. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • D. Gualtiero
    Gualtiero is an Italian given name equivalent to the English name Walter.
  • E. Tullio
    Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28467b88190bdf70b851bc8efa9 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32549eb9c81908c3a525da9eab0aa completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.