Triple

T16133770
Position Surface form Disambiguated ID Type / Status
Subject Girl with a Suitcase E391468 entity
Predicate editedBy P1954 FINISHED
Object Mario Serandrei 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: Mario Serandrei | Statement: [Girl with a Suitcase, editedBy, Mario Serandrei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Serandrei
Context triple: [Girl with a Suitcase, editedBy, Mario Serandrei]
  • A. Mario Serandrei chosen
    Mario Serandrei was an Italian film editor renowned for his work on numerous classic Italian films, including Luchino Visconti’s "The Leopard."
  • B. Mario Palanti
    Mario Palanti was an Italian architect best known for his monumental eclectic skyscrapers in South America, particularly in Buenos Aires and Montevideo.
  • C. 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.
  • D. Franco Cristaldi
    Franco Cristaldi was an influential Italian film producer known for backing acclaimed classics such as "Divorce Italian Style" and "Cinema Paradiso."
  • E. Sergio Fantoni
    Sergio Fantoni was an Italian actor known for his work in mid-20th-century cinema and television, including prominent roles in international war and drama films.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a039f0c8190a679e16a27f2dbe3 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:01 a.m.