Triple

T4521638
Position Surface form Disambiguated ID Type / Status
Subject Mirrors E103282 entity
Predicate writer P1360 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: [Mirrors, writer, Hugo Peretti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Peretti
Context triple: [Mirrors, writer, 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. Hugo Rossi
    Hugo Rossi is an actor known for his role in the 2013 television miniseries "The Bible."
  • C. Lionel Fusco
    Lionel Fusco is a central character in the TV series "Person of Interest," a once-corrupt NYPD detective who becomes a loyal ally to the show's protagonists.
  • D. Guido Monzino
    Guido Monzino was an Italian entrepreneur, politician, and mountaineer best known for leading the first Italian expedition to climb Mount Everest and for his extensive collections and explorations.
  • E. Marcello Masciocchi
    Marcello Masciocchi was an Italian cinematographer known for his work on numerous mid-20th-century films.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574bd6908190b939d92b5809b101 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd4a09881909cf0e9d665454e38 completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:02 p.m.