Triple

T551512
Position Surface form Disambiguated ID Type / Status
Subject Nicolás Guillén E11849 entity
Predicate familyName P18 FINISHED
Object Guillén
Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
 E73878 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: Guillén | Statement: [Nicolás Guillén, familyName, Guillén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guillén
Context triple: [Nicolás Guillén, familyName, Guillén]
  • A. Cefereino Garcia
    Cefereino Garcia was a Filipino professional boxer of the 1930s–1940s era, best known as a world middleweight champion and for popularizing the bolo punch.
  • B. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • C. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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: Guillén
Triple: [Nicolás Guillén, familyName, Guillén]
Generated description
Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guillén
Target entity description: Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
  • A. Cefereino Garcia
    Cefereino Garcia was a Filipino professional boxer of the 1930s–1940s era, best known as a world middleweight champion and for popularizing the bolo punch.
  • B. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • C. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • E. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499047bd4819089ca8345f1b6e46c completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5154fa9b48190be235b95548bbb94 completed March 2, 2026, 4:42 a.m.
NEDg Description generation batch_69a515d673e08190bf66072a20c5b912 completed March 2, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69a5168e76448190aec260b3b9b4bdc6 completed March 2, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:32 p.m.