Triple

T3834824
Position Surface form Disambiguated ID Type / Status
Subject Amerigo Vespucci E91104 entity
Predicate spouse P13 FINISHED
Object Maria Cerezo E91104 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: Maria Cerezo | Statement: [Amerigo Vespucci, spouse, Maria Cerezo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Cerezo
Context triple: [Amerigo Vespucci, spouse, Maria Cerezo]
  • A. Maria Cerezo chosen
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • B. María Navarro
    María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
  • C. Catalina Álvarez del Casal
    Catalina Álvarez del Casal was a Colombian woman best known as the mother of independence leader Antonio Nariño.
  • D. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • E. Carmen Marin
    Carmen Marin is the child of American comedian and actor Cheech Marin, best known as half of the stoner comedy duo Cheech & Chong.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8a27688190866bc41441e2260c completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a82c551c8190a97fdc5a96cf131c completed March 14, 2026, 6:25 p.m.
Created at: March 9, 2026, 3:18 p.m.