Triple

T17434071
Position Surface form Disambiguated ID Type / Status
Subject Zorreguieta family E423953 entity
Predicate hasMember P10 FINISHED
Object Martina Zorreguieta 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: Martina Zorreguieta | Statement: [Zorreguieta family, hasMember, Martina Zorreguieta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martina Zorreguieta
Context triple: [Zorreguieta family, hasMember, Martina Zorreguieta]
  • A. Martina Zorreguieta chosen
    Martina Zorreguieta is an Argentine woman known primarily as one of the daughters of former Argentine agriculture minister Jorge Zorreguieta and the sister of Queen Máxima of the Netherlands.
  • B. Martina Borrero
    Martina Borrero is a fictional character played by actress Adria Arjona, known from her work in film and television.
  • C. Macarena García
    Macarena García is a Spanish actress best known for her acclaimed performance in the silent black-and-white film "Blancanieves."
  • D. Ximena Lamadrid
    Ximena Lamadrid is a Mexican actress known for her work in film and television, including roles in international productions.
  • E. Silvia Lemus
    Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490274608190a60ada9aeb246eff completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.