Triple

T10159653
Position Surface form Disambiguated ID Type / Status
Subject Luigi Creatore E233854 entity
Predicate workedWith P398 FINISHED
Object Hugo Peretti E233853 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: Hugo Peretti | Statement: [Luigi Creatore, workedWith, Hugo Peretti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Peretti
Context triple: [Luigi Creatore, workedWith, Hugo Peretti]
  • A. Hugo Peretti chosen
    Hugo Peretti was an American record producer and songwriter best known for his pop and R&B hits in the 1950s and 1960s, including work with artists like Elvis Presley and Sam Cooke.
  • B. Hans Zanotelli
    Hans Zanotelli was a German conductor known for his leadership roles at major opera houses and orchestras, particularly in the mid-20th century.
  • C. Hugo Rossi
    Hugo Rossi is an actor known for his role in the 2013 television miniseries "The Bible."
  • D. Rene Tosoni
    Rene Tosoni is a Canadian former professional baseball outfielder who played in Major League Baseball for the Minnesota Twins.
  • E. Vittorio Adorni
    Vittorio Adorni was an Italian professional road cyclist best known for winning the 1965 Giro d'Italia and the 1968 UCI Road World Championships.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.