Triple

T13700523
Position Surface form Disambiguated ID Type / Status
Subject Loro E328502 entity
Predicate cinematographyBy P1953 FINISHED
Object Luca Bigazzi E578558 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: Luca Bigazzi | Statement: [Loro, cinematographyBy, Luca Bigazzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luca Bigazzi
Context triple: [Loro, cinematographyBy, Luca Bigazzi]
  • A. Luca Bigazzi chosen
    Luca Bigazzi is an acclaimed Italian cinematographer known for his visually striking work on contemporary Italian cinema, including multiple collaborations with director Paolo Sorrentino.
  • B. Luca Dotti
    Luca Dotti is an Italian author and graphic designer best known as the younger son of iconic actress Audrey Hepburn and Italian psychiatrist Andrea Dotti.
  • C. Luca Villani
    Luca Villani is an individual notable enough to be recognized as a bearer of the surname Villani, though specific widely known public details about him are not clearly established.
  • D. Luca Bindi
    Luca Bindi is an Italian mineralogist and crystallographer known for his work on quasicrystals, including the discovery of natural quasicrystals in meteorites.
  • E. Luca Marinelli
    Luca Marinelli is an acclaimed Italian actor known for his versatile performances in European cinema and international films such as "The Old Guard."
  • 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_69fd3cfae6bc8190ac6851a3fa2dfb12 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 9:54 p.m.