Triple

T14745517
Position Surface form Disambiguated ID Type / Status
Subject Marco Leonardi E346458 entity
Predicate name P16 FINISHED
Object Marco Leonardi E346458 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: Marco Leonardi | Statement: [Marco Leonardi, name, Marco Leonardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marco Leonardi
Context triple: [Marco Leonardi, name, 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. Alessandro Antonelli
    Alessandro Antonelli was a 19th-century Italian architect best known for designing Turin’s iconic Mole Antonelliana.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcf67348190862c65faa1c815f0 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:30 a.m.