Triple

T19206643
Position Surface form Disambiguated ID Type / Status
Subject Martin Eden (2019 film) E480250 entity
Predicate starring P1507 FINISHED
Object Marco Leonardi 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: Marco Leonardi | Statement: [Martin Eden (2019 film), starring, Marco Leonardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marco Leonardi
Context triple: [Martin Eden (2019 film), starring, Marco Leonardi]
  • A. Marco Leonardi chosen
    Marco Leonardi is an Italian actor known for his roles in films such as "Cinema Paradiso," "Like Water for Chocolate," and various international productions.
  • B. Marco Brambilla
    Marco Brambilla is an Italian-Canadian visual artist and filmmaker known for his elaborate video collages and for directing the sci-fi action film "Demolition Man."
  • C. Marco Carducci
    Marco Carducci is a Canadian professional soccer goalkeeper known for his standout performances in the Canadian Premier League and recognition as one of the league’s top shot-stoppers.
  • D. Luca Ferraro
    Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
  • E. Alessio Romenzi
    Alessio Romenzi is an Italian photojournalist known for his powerful coverage of conflicts and humanitarian crises in the Middle East.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99d8ad0819098ebd4ee007149f1 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:19 p.m.