Triple

T15449691
Position Surface form Disambiguated ID Type / Status
Subject Battle of Custoza (1848) E370116 entity
Predicate hasCommander P1197 FINISHED
Object Eusebio Bava E638648 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: Eusebio Bava | Statement: [Battle of Custoza (1848), hasCommander, Eusebio Bava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eusebio Bava
Context triple: [Battle of Custoza (1848), hasCommander, Eusebio Bava]
  • A. Eusebio Bava chosen
    Eusebio Bava was a 19th-century Italian general and statesman who played a key role in the military campaigns leading up to the unification of Italy.
  • B. Mario Bava
    Mario Bava was an influential Italian filmmaker and cinematographer, best known as a pioneer of the giallo and horror genres whose highly stylized visuals shaped modern genre cinema.
  • C. Fiorenzo Bava Beccaris
    Fiorenzo Bava Beccaris was an Italian general best known for brutally suppressing the 1898 Milan bread riots, an event that became infamous as the Bava Beccaris massacre.
  • D. Jorge Bava
    Jorge Bava is a Uruguayan former professional goalkeeper who became a football manager, known for coaching clubs in Latin American leagues.
  • E. Bruno Corbucci
    Bruno Corbucci was an Italian screenwriter and film director known for his work in popular genre cinema, including spaghetti westerns and crime comedies.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b1e9688190a283dbc552072ce0 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.