Triple

T21229865
Position Surface form Disambiguated ID Type / Status
Subject The Boat Is Full E523178 entity
Predicate musicBy P1952 FINISHED
Object Mario Beretta 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 Beretta | Statement: [The Boat Is Full, musicBy, Mario Beretta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario Beretta
Context triple: [The Boat Is Full, musicBy, Mario Beretta]
  • A. Mario Beretta chosen
    Mario Beretta is a composer best known for creating the musical score for the Swiss World War II drama film "The Boat Is Full."
  • B. Bartolomeo Beretta
    Bartolomeo Beretta was a 16th-century Italian gunsmith credited as the founder of the Beretta firearms manufacturing dynasty, one of the oldest industrial enterprises in the world.
  • C. Massimo Fiocchi
    Massimo Fiocchi is an Italian film editor known for his work on numerous contemporary Italian movies.
  • D. Massimo Fiocchi
    Massimo Fiocchi is an editor known for his work on the Italian publication "La scuola cattolica," which focuses on Catholic education and culture.
  • E. Salvatore Carcano
    Salvatore Carcano was an Italian firearms designer best known for creating the bolt-action military rifle that became standard issue for the Italian Army in the late 19th and early 20th centuries.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:45 p.m.