Triple

T8853353
Position Surface form Disambiguated ID Type / Status
Subject Valentin E210690 entity
Predicate orthographicVariant P33995 FINISHED
Object Valentín (Spanish)
Valentín is the Spanish form of the given name Valentine, commonly used in Spanish-speaking countries.
 E761968 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: Valentín (Spanish) | Statement: [Valentin, orthographicVariant, Valentín (Spanish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valentín (Spanish)
Context triple: [Valentin, orthographicVariant, Valentín (Spanish)]
  • A. Valentim
    Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
  • B. Vázquez
    Vázquez is a Spanish-language surname commonly found in Spain and Latin America, borne by various notable figures in entertainment, sports, and public life.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Venustiano
    Venustiano is the given name of Venustiano Carranza, a key leader of the Mexican Revolution and former president of Mexico.
  • E. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • 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: Valentín (Spanish)
Triple: [Valentin, orthographicVariant, Valentín (Spanish)]
Generated description
Valentín is the Spanish form of the given name Valentine, commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valentín (Spanish)
Target entity description: Valentín is the Spanish form of the given name Valentine, commonly used in Spanish-speaking countries.
  • A. Valentim
    Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
  • B. Vázquez
    Vázquez is a Spanish-language surname commonly found in Spain and Latin America, borne by various notable figures in entertainment, sports, and public life.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Venustiano
    Venustiano is the given name of Venustiano Carranza, a key leader of the Mexican Revolution and former president of Mexico.
  • E. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c55e348190957b3bbb7397e380 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa1503654819086db66f237f035a1 completed April 3, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69cfa1b051cc8190b95c930883cec519 completed April 3, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:49 p.m.