Triple

T6573949
Position Surface form Disambiguated ID Type / Status
Subject José Miguel Carrera E155510 entity
Predicate sibling P363 FINISHED
Object Javiera Carrera E172005 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: Javiera Carrera | Statement: [José Miguel Carrera, sibling, Javiera Carrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javiera Carrera
Context triple: [José Miguel Carrera, sibling, Javiera Carrera]
  • A. Javiera Carrera chosen
    Javiera Carrera was a prominent Chilean patriot and political figure who played a key role in the country’s early independence movement.
  • B. Sofía Correa
    Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
  • C. Catalina Suárez Marcaida
    Catalina Suárez Marcaida was the first wife of Spanish conquistador Hernán Cortés, whose controversial death in Cuba preceded Cortés’s conquest of the Aztec Empire.
  • D. Patricia Velásquez
    Patricia Velásquez is a Venezuelan actress and model best known for her roles in films such as The Mummy franchise and various international television and movie productions.
  • E. Catalina Sandino Moreno
    Catalina Sandino Moreno is an Academy Award–nominated Colombian actress known for her breakout role in "Maria Full of Grace" and subsequent work in international film and television.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7134708190a0355519d117ab9c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb9b0bfc8190b00904547a6178a1 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:53 p.m.