Triple

T12243072
Position Surface form Disambiguated ID Type / Status
Subject Mario Del Monaco E291782 entity
Predicate name P16 FINISHED
Object Mario Del Monaco E291782 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: Mario Del Monaco | Statement: [Mario Del Monaco, name, Mario Del Monaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Del Monaco
Context triple: [Mario Del Monaco, name, Mario Del Monaco]
  • A. Mario Del Monaco chosen
    Mario Del Monaco was a renowned Italian dramatic tenor celebrated for his powerful voice and intense performances, particularly in the Italian operatic repertoire.
  • B. Umberto Martini
    Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
  • C. Luigi Martini
    Luigi Martini is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Martini.
  • D. Roberto De Angelis
    Roberto De Angelis is a cinematographer known for his work on major feature films, including the action-comedy sequel "Bad Boys for Life."
  • E. Fiorenzo Magni
    Fiorenzo Magni was an Italian professional road cyclist renowned for his toughness and multiple victories in major races such as the Giro d'Italia and the Tour of Flanders.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.