Triple

T22798738
Position Surface form Disambiguated ID Type / Status
Subject Mariano Rumor E564322 entity
Predicate name P16 FINISHED
Object Mariano Rumor 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: Mariano Rumor | Statement: [Mariano Rumor, name, Mariano Rumor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariano Rumor
Context triple: [Mariano Rumor, name, Mariano Rumor]
  • A. Mariano Rumor chosen
    Mariano Rumor was an Italian Christian Democratic politician who served multiple times as Prime Minister of Italy during the late 1960s and early 1970s.
  • B. Mariano Roque Alonso
    Mariano Roque Alonso is a city in Paraguay known for its strategic location near the capital Asunción and its role as a commercial and industrial hub.
  • C. Mariano Osorio
    Mariano Osorio was a Spanish military officer best known for leading royalist forces against Chilean patriots during the Chilean War of Independence.
  • D. Mariano Zabaleta
    Mariano Zabaleta is a retired Argentine professional tennis player known for his clay-court prowess and multiple ATP titles, who also represented Argentina in the Davis Cup.
  • E. Juan Manuel de Ayala
    Juan Manuel de Ayala was an 18th-century Spanish naval officer and explorer credited with one of the first European chartings of San Francisco Bay.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdb6ba48190936bd356704c1241 completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:31 p.m.