Triple

T1029009
Position Surface form Disambiguated ID Type / Status
Subject Rafael Casanova E22206 entity
Predicate givenName P17 FINISHED
Object Rafael
Rafael is a masculine given name of Hebrew origin, commonly used in Spanish, Portuguese, and other languages, meaning "God has healed."
 E145536 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: Rafael | Statement: [Rafael Casanova, givenName, Rafael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rafael
Context triple: [Rafael Casanova, givenName, Rafael]
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Raúl
    Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • D. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • E. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • 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: Rafael
Triple: [Rafael Casanova, givenName, Rafael]
Generated description
Rafael is a masculine given name of Hebrew origin, commonly used in Spanish, Portuguese, and other languages, meaning "God has healed."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rafael
Target entity description: Rafael is a masculine given name of Hebrew origin, commonly used in Spanish, Portuguese, and other languages, meaning "God has healed."
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Raúl
    Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • D. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • E. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f84c888190b5b9e44c7edb508f completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac996dcd3481909543f1b9758a0f91 completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9df823208190ae27a659ac283e2a completed March 7, 2026, 9:51 p.m.
NED2 Entity disambiguation (via description) batch_69ac9e4788d08190b2a6f34bbf9f2671 completed March 7, 2026, 9:53 p.m.
Created at: March 1, 2026, 7:41 p.m.