Triple

T5870674
Position Surface form Disambiguated ID Type / Status
Subject Un'estate italiana E130507 entity
Predicate lyricist P1360 FINISHED
Object Edoardo Bennato E141649 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: Edoardo Bennato | Statement: [Un'estate italiana, lyricist, Edoardo Bennato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edoardo Bennato
Context triple: [Un'estate italiana, lyricist, Edoardo Bennato]
  • A. Edoardo Bennato chosen
    Edoardo Bennato is an Italian singer-songwriter and rock musician known for his satirical lyrics and energetic style, who gained international recognition in part through his association with the 1990 FIFA World Cup.
  • B. Paolo Mastropietro
    Paolo Mastropietro is an Italian-born actor and restaurateur best known as the husband of Canadian actress and singer Jill Hennessy.
  • C. Tommaso Baglioni
    Tommaso Baglioni was an early 17th-century Italian printer and publisher best known for issuing Galileo Galilei’s groundbreaking astronomical work *Sidereus Nuncius* in 1610.
  • D. Riccardo Tozzi
    Riccardo Tozzi is an Italian film producer known for his work on both national and international productions.
  • E. Stefano Arnaldi
    Stefano Arnaldi is a composer best known for creating the musical score for the film "Tea with Mussolini."
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f6b8548190a58971b05869228d completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b10fe5908190977d1802258f9f13 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:56 p.m.