Triple

T6451681
Position Surface form Disambiguated ID Type / Status
Subject Nicado E139881 entity
Predicate hasNotableBearer P458 FINISHED
Object Miriam Nicado García E26161 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: Miriam Nicado García | Statement: [Nicado, hasNotableBearer, Miriam Nicado García]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam Nicado García
Context triple: [Nicado, hasNotableBearer, Miriam Nicado García]
  • A. Miriam Nicado García chosen
    Miriam Nicado García is a Cuban mathematician and academic who became the first woman to serve as rector of the University of Havana.
  • B. Alicia Syquia
    Alicia Syquia was the wife of future Philippine President Elpidio Quirino and a Filipina who tragically died with several of their children during the Battle of Manila in World War II.
  • C. Leonila Dimataga
    Leonila Dimataga was the First Lady of the Philippines as the wife of President Carlos P. Garcia and was known for her involvement in social and civic activities.
  • D. Nancy Colmenares
    Nancy Colmenares is best known as the first wife of former Venezuelan president Hugo Chávez, with whom she had three children.
  • E. Miluska Rosales
    Miluska Rosales is known as the spouse of Italian actor and television personality Rossano Rubicondi.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b62cbc81908b7f1a0dc1ed3e1d completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd671d08190a24e8d666040bcc2 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:47 p.m.