Triple

T20101448
Position Surface form Disambiguated ID Type / Status
Subject Rafael Correa E496551 entity
Predicate child P120 FINISHED
Object Anne-Dominique Correa 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: Anne-Dominique Correa | Statement: [Rafael Correa, child, Anne-Dominique Correa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne-Dominique Correa
Context triple: [Rafael Correa, child, Anne-Dominique Correa]
  • A. Anne-Dominique Correa chosen
    Anne-Dominique Correa is the daughter of former Ecuadorian president Rafael Correa.
  • B. Laura Dominica Garello
    Laura Dominica Garello was the wife of Italian automotive pioneer Enzo Ferrari and a significant, if private, figure in his personal life during the formative years of the Ferrari company.
  • C. Juliana Malacarne
    Juliana Malacarne is a Brazilian-American IFBB professional bodybuilder best known as a multi-time Women's Physique Olympia champion.
  • D. Camile Velasco
    Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
  • E. Emmanuelle Castro
    Emmanuelle Castro is a film editor known for her work on the French film "La Bûche."
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.