Triple

T6706094
Position Surface form Disambiguated ID Type / Status
Subject Jules E153007 entity
Predicate hasVariantForm P457 FINISHED
Object Júlio E118356 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: Júlio | Statement: [Jules, hasVariantForm, Júlio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Júlio
Context triple: [Jules, hasVariantForm, Júlio]
  • A. Julio chosen
    Julio is the given name of Julio Antonio Mella, a prominent early 20th-century Cuban communist leader and co-founder of the Cuban Communist Party.
  • B. Luiz
    Luiz is a given name associated with the German novelist Heinrich Mann.
  • C. Guilherme
    Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • D. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • E. Marcio
    Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0ea8cfc819081affc73603c2cf3 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af6d1608190887c5d9f94ffe9fa completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:06 p.m.