Triple

T13700501
Position Surface form Disambiguated ID Type / Status
Subject Loro E328502 entity
Predicate producer P490 FINISHED
Object Nicola Giuliano E574184 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: Nicola Giuliano | Statement: [Loro, producer, Nicola Giuliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicola Giuliano
Context triple: [Loro, producer, Nicola Giuliano]
  • A. Nicola Giuliano chosen
    Nicola Giuliano is an Italian film producer best known for his work on acclaimed auteur-driven films, including the Oscar-winning "The Great Beauty."
  • B. Luciano De Feo
    Luciano De Feo was an Italian film producer and cultural figure best known for establishing the prestigious Venice Film Festival, one of the world’s oldest and most influential film festivals.
  • C. Nicola De Martino
    Nicola De Martino is an individual notable enough to be recognized as a bearer of the surname De Martino.
  • D. Nicola Antonelli
    Nicola Antonelli is an individual notable enough to be recognized as a bearer of the Italian surname Antonelli.
  • E. Enrico De Nicola
    Enrico De Nicola was an Italian jurist and politician who served as the first head of state of the Italian Republic after World War II.
  • 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_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_69f7b06554748190bf76e3383413a3c4 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:54 p.m.