Triple

T1920106
Position Surface form Disambiguated ID Type / Status
Subject West Side Story E40105 entity
Predicate mainCharacter P1183 FINISHED
Object Bernardo E196225 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: Bernardo | Statement: [West Side Story, mainCharacter, Bernardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernardo
Context triple: [West Side Story, mainCharacter, Bernardo]
  • A. Bernardo chosen
    Bernardo is a masculine given name of Romance-language origin, equivalent to the Germanic name Bernhard and commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • B. 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.
  • C. Antonio
    Antonio is a masculine given name of Latin origin, widely used in Italian, Spanish, and Portuguese-speaking cultures.
  • D. Rodolfo
    Rodolfo is the original Italian given name of Rudolph Valentino, the iconic silent film actor and sex symbol of the 1920s.
  • E. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb213af0481909429ec971860a3fd completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3df3fdc819095cfdf508e8bdb22 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.