Triple

T5813437
Position Surface form Disambiguated ID Type / Status
Subject Haydée Santamaría E128925 entity
Predicate familyName P18 FINISHED
Object Santamaría
Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
 E547702 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: Santamaría | Statement: [Haydée Santamaría, familyName, Santamaría]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santamaría
Context triple: [Haydée Santamaría, familyName, Santamaría]
  • A. Oliba Cabreta
    Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
  • B. Cayetano
    Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
  • C. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • D. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • E. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • 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: Santamaría
Triple: [Haydée Santamaría, familyName, Santamaría]
Generated description
Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santamaría
Target entity description: Santamaría is a Spanish-language surname borne by various notable figures in Latin American history and culture.
  • A. Oliba Cabreta
    Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
  • B. Cayetano
    Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
  • C. El Rosal
    El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
  • D. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • E. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03360749481908d42fde7a74a754f completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09848dd148190aeea1b1d454b8da5 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098ba92408190b61b115540fce941 completed March 23, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69c099bd26fc8190a58bf483a6d4cbca completed March 23, 2026, 1:39 a.m.
Created at: March 22, 2026, 3:52 p.m.