Triple

T7049741
Position Surface form Disambiguated ID Type / Status
Subject Sean Hepburn Ferrer E163733 entity
Predicate sibling P363 FINISHED
Object Luca Dotti E208180 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 Dotti | Statement: [Sean Hepburn Ferrer, sibling, Luca Dotti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luca Dotti
Context triple: [Sean Hepburn Ferrer, sibling, Luca Dotti]
  • A. Luca Dotti chosen
    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.
  • B. Luca Bigazzi
    Luca Bigazzi is an acclaimed Italian cinematographer known for his visually striking work on contemporary Italian cinema, including multiple collaborations with director Paolo Sorrentino.
  • C. Luca Bindi
    Luca Bindi is an Italian mineralogist and crystallographer known for his work on quasicrystals, including the discovery of natural quasicrystals in meteorites.
  • D. Luca Ferraro
    Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
  • E. Luca Calvani
    Luca Calvani is an Italian actor known for his work in film, television, and theater, including roles in international productions.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24d5e8c8190b37e56107e6da8ab completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944535bc819086b7648d95b81e37 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:37 p.m.