Triple

T8674985
Position Surface form Disambiguated ID Type / Status
Subject Juan Diego Flórez E205891 entity
Predicate familyName P18 FINISHED
Object Flórez
Flórez is a Spanish-language surname most prominently associated with Peruvian operatic tenor Juan Diego Flórez.
 E749163 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: Flórez | Statement: [Juan Diego Flórez, familyName, Flórez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flórez
Context triple: [Juan Diego Flórez, familyName, Flórez]
  • A. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • B. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • C. Covarrubias
    Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
  • D. Páez
    Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
  • E. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • 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: Flórez
Triple: [Juan Diego Flórez, familyName, Flórez]
Generated description
Flórez is a Spanish-language surname most prominently associated with Peruvian operatic tenor Juan Diego Flórez.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flórez
Target entity description: Flórez is a Spanish-language surname most prominently associated with Peruvian operatic tenor Juan Diego Flórez.
  • A. Rojas
    Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
  • B. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • C. Covarrubias
    Covarrubias is a Spanish surname most notably associated with Renaissance architect and sculptor Alonso de Covarrubias, whose work significantly shaped the Plateresque style.
  • D. Páez
    Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
  • E. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • F. None of above. chosen

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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f54dfc8190b7a61e7ed1cfcbeb completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd4719a881908ee6bd8514ab9f81 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69ceceaab52c819082ecea1bcc38def8 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf962f28819090fb93b6a7a2784b completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:31 p.m.