Triple

T2696317
Position Surface form Disambiguated ID Type / Status
Subject Emilio De Bono E58518 entity
Predicate familyName P18 FINISHED
Object De Bono E58518 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: De Bono | Statement: [Emilio De Bono, familyName, De Bono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Bono
Context triple: [Emilio De Bono, familyName, De Bono]
  • A. Emilio De Bono chosen
    Emilio De Bono was an Italian general and leading Fascist figure who helped orchestrate Mussolini’s rise to power and later served as a senior military commander and colonial administrator.
  • B. Al Martino
    Al Martino was an American traditional pop and easy listening singer best known for hits like "Here in My Heart" and for playing Johnny Fontane in the film "The Godfather."
  • C. Brian Bilello
    Brian Bilello is an American soccer executive best known for leading Major League Soccer’s New England Revolution as the club’s president.
  • D. Bruno Siciliano
    Bruno Siciliano is an Italian roboticist and professor renowned for his influential research, leadership, and educational contributions in the field of robotics and automation.
  • E. Tim McInnerny
    Tim McInnerny is a British actor best known for his comedic and character roles in television and film, particularly in the classic sitcom series Blackadder.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda3112108190a5e49c13368cf83f completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6aa78c8190b57be36042008361 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.