Triple

T18883461
Position Surface form Disambiguated ID Type / Status
Subject Il Postino E461891 entity
Predicate starring P1507 FINISHED
Object Linda Moretti 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: Linda Moretti | Statement: [Il Postino, starring, Linda Moretti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Moretti
Context triple: [Il Postino, starring, Linda Moretti]
  • A. Linda Moretti chosen
    Linda Moretti is an actress best known for her role in the acclaimed Italian film "Il Postino" ("The Postman").
  • B. Laura Moretti
    Laura Moretti is a notable individual, likely recognized for professional or public achievements associated with the surname Moretti.
  • C. Linda Giuva
    Linda Giuva is an Italian archivist and academic known for her work in archival science and for being married to former Italian Prime Minister Massimo D'Alema.
  • D. Linda Ercoli
    Linda Ercoli is a voice actress known for portraying Peppermint Patty in the Peanuts animated productions.
  • E. Marilyn Stefano
    Marilyn Stefano is known as the wife of American screenwriter and producer Joseph Stefano, who co-wrote the screenplay for Alfred Hitchcock's film "Psycho."
  • 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.