Triple

T993728
Position Surface form Disambiguated ID Type / Status
Subject Bernardo O'Higgins E21448 entity
Predicate givenName P17 FINISHED
Object Bernardo
Bernardo is a masculine given name of Spanish and Portuguese origin, commonly used in Latin American and Iberian countries.
E59717 NE FINISHED

How this triple was built (4 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: Bernardo | Statement: [Bernardo O'Higgins, givenName, Bernardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernardo
Context triple: [Bernardo O'Higgins, givenName, Bernardo]
  • A. Bernardo Yorba
    Bernardo Yorba was a prominent 19th-century Californio ranchero and landowner whose extensive holdings and influence in Southern California led to places like Yorba Linda being named in his honor.
  • B. Antonio
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • C. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • D. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • E. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bernardo
Triple: [Bernardo O'Higgins, givenName, Bernardo]
Generated description
Bernardo is a masculine given name of Spanish and Portuguese origin, commonly used in Latin American and Iberian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bernardo
Target entity description: Bernardo is a masculine given name of Spanish and Portuguese origin, commonly used in Latin American and Iberian countries.
  • A. Bernardo Yorba chosen
    Bernardo Yorba was a prominent 19th-century Californio ranchero and landowner whose extensive holdings and influence in Southern California led to places like Yorba Linda being named in his honor.
  • B. Antonio
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • C. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • D. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • E. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • F. None of above.

Provenance (5 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c5e16881908cd5f7ba2fcd5084 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac25919bcc8190886f19405536681b completed March 7, 2026, 1:18 p.m.
NEDg Description generation batch_69ac269b2054819081e17a1c13068c1b completed March 7, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_69ac26f947d481908ab1b7115cf9dee7 completed March 7, 2026, 1:24 p.m.
Created at: March 1, 2026, 7:41 p.m.