Triple

T12330482
Position Surface form Disambiguated ID Type / Status
Subject Cornelius E293947 entity
Predicate hasVariant P455 FINISHED
Object Cornelio E293947 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: Cornelio | Statement: [Cornelius, hasVariant, Cornelio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornelio
Context triple: [Cornelius, hasVariant, Cornelio]
  • A. Cornelius
    Cornelius is the ancient Roman gens (clan) to which the dictator Lucius Cornelius Sulla belonged.
  • B. Cornelius chosen
    Cornelius is a masculine given name of Latin origin, historically associated with Roman families and later adopted in various European and English-speaking cultures.
  • C. Cornelius
    Cornelius is the given first name of Connie Mack, the legendary early 20th-century Major League Baseball manager and team owner.
  • D. Celso
    Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
  • E. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e9114f48190988b84eaec2e810f completed May 2, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:53 p.m.