Triple

T18883460
Position Surface form Disambiguated ID Type / Status
Subject Il Postino E461891 entity
Predicate starring P1507 FINISHED
Object Maria Grazia Cucinotta NE NERFINISHED

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: Maria Grazia Cucinotta | Statement: [Il Postino, starring, Maria Grazia Cucinotta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Grazia Cucinotta
Context triple: [Il Postino, starring, Maria Grazia Cucinotta]
  • A. Maria Grazia Cucinotta chosen
    Maria Grazia Cucinotta is an Italian actress and producer best known internationally for her role in the acclaimed film "Il Postino" and for appearing in the James Bond movie "The World Is Not Enough."
  • B. Grazia Rossi
    Grazia Rossi is an individual notable enough to be recognized as a distinguished bearer of the Italian surname Rossi.
  • C. Margherita Dall’Aglio
    Margherita Dall’Aglio was the wife of renowned Italian typographer and printer Giambattista Bodoni.
  • D. Benedetta Tagliabue
    Benedetta Tagliabue is an Italian architect known for her innovative, sculptural designs and for leading the Barcelona-based firm EMBT.
  • E. Lorenza Izzo
    Lorenza Izzo is a Chilean actress and model known for her roles in films such as "Knock Knock," "The Green Inferno," and "Once Upon a Time in Hollywood."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d3dcec8190a468162c6a4482f6 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.