Triple

T22645475
Position Surface form Disambiguated ID Type / Status
Subject Carybé E558948 entity
Predicate familyName P18 FINISHED
Object Bernabó 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: Bernabó | Statement: [Carybé, familyName, Bernabó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernabó
Context triple: [Carybé, familyName, Bernabó]
  • A. Bernabó chosen
    Bernabó is the Italian-origin surname of the Argentine-Brazilian artist and illustrator known as Carybé (Héctor Julio Páride Bernabó).
  • B. Blasco Giurato
    Blasco Giurato was an Italian cinematographer best known for his evocative visual work on acclaimed films such as "Cinema Paradiso."
  • C. Antonio Vandone di Cortemilia
    Antonio Vandone di Cortemilia was an Italian architect known for designing the Mogadishu Cathedral in Somalia during the colonial era.
  • D. Malatesta
    Malatesta is an Italian surname most famously associated with Errico Malatesta, a prominent anarchist thinker and activist of the late 19th and early 20th centuries.
  • E. Baldassarre
    Baldassarre is an Italian surname of likely patronymic or given-name origin, borne by various notable individuals in Italy.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170371fe08190a6a53809d185f8b5 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.