Triple

T13700576
Position Surface form Disambiguated ID Type / Status
Subject La meglio gioventù E328504 entity
Predicate cinematographyBy P1953 FINISHED
Object Roberto Forza
Roberto Forza is an Italian cinematographer best known for his work on acclaimed films such as "La meglio gioventù."
E1055663 NE FINISHED

How this triple was built (4 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: Roberto Forza | Statement: [La meglio gioventù, cinematographyBy, Roberto Forza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto Forza
Context triple: [La meglio gioventù, cinematographyBy, Roberto Forza]
  • A. Enzo Rossi
    Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
  • B. Mario Revolori
    Mario Revolori is a member of the Revolori family, which includes actor Tony Revolori, and is associated with the entertainment industry.
  • C. Mario Lanfranchi
    Mario Lanfranchi was an Italian film and television director and producer, known for his work in opera productions and for his marriage to soprano Anna Moffo.
  • D. Antonio Rossi
    Antonio Rossi is an Italian sprint canoer and multiple Olympic gold medalist renowned for his success in the 1990s and early 2000s.
  • E. Enzo Scifo
    Enzo Scifo is a former Belgian attacking midfielder renowned for his playmaking skills and influential performances for both the Belgian national team and top European clubs in the 1980s and 1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Roberto Forza
Triple: [La meglio gioventù, cinematographyBy, Roberto Forza]
Generated description
Roberto Forza is an Italian cinematographer best known for his work on acclaimed films such as "La meglio gioventù."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roberto Forza
Target entity description: Roberto Forza is an Italian cinematographer best known for his work on acclaimed films such as "La meglio gioventù."
  • A. Enzo Rossi
    Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
  • B. Mario Revolori
    Mario Revolori is a member of the Revolori family, which includes actor Tony Revolori, and is associated with the entertainment industry.
  • C. Mario Lanfranchi
    Mario Lanfranchi was an Italian film and television director and producer, known for his work in opera productions and for his marriage to soprano Anna Moffo.
  • D. Antonio Rossi
    Antonio Rossi is an Italian sprint canoer and multiple Olympic gold medalist renowned for his success in the 1990s and early 2000s.
  • E. Enzo Scifo
    Enzo Scifo is a former Belgian attacking midfielder renowned for his playmaking skills and influential performances for both the Belgian national team and top European clubs in the 1980s and 1990s.
  • F. None of above. chosen

Provenance (5 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794575d3881908de6ed988d848918 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79523bf608190addeca563bea132e completed May 3, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:54 p.m.