Triple

T1167710
Position Surface form Disambiguated ID Type / Status
Subject Julian E24836 entity
Predicate relatedName P3889 FINISHED
Object Julio 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: Julio | Statement: [Julian, relatedName, Julio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julio
Context triple: [Julian, relatedName, Julio]
  • 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. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • C. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • D. Horácio
    Horácio is the Portuguese form of the name Horace, historically associated with the Roman poet Quintus Horatius Flaccus.
  • E. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccef84481908864e819884af86c completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0146e1ec8190974e9d73acd6ca90 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:45 p.m.