Triple

T5396312
Position Surface form Disambiguated ID Type / Status
Subject Mariano de Aycinena y Piñol E120664 entity
Predicate familyName P18 FINISHED
Object Piñol
Piñol is a Spanish-language surname historically associated with prominent families in Central America.
E516806 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: Piñol | Statement: [Mariano de Aycinena y Piñol, familyName, Piñol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piñol
Context triple: [Mariano de Aycinena y Piñol, familyName, Piñol]
  • A. Piñas
    Piñas is a barrio (neighborhood or district) within the municipality of Dorado in Puerto Rico.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • D. Capurro
    Capurro is the family surname of American actor and singer Alfred Drake, known for his leading roles in classic Broadway musicals.
  • E. Capiceño
    Capiceño is an alternative name for the Capiznon language, an Austronesian language spoken primarily in the province of Capiz in the Philippines.
  • 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: Piñol
Triple: [Mariano de Aycinena y Piñol, familyName, Piñol]
Generated description
Piñol is a Spanish-language surname historically associated with prominent families in Central America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piñol
Target entity description: Piñol is a Spanish-language surname historically associated with prominent families in Central America.
  • A. Piñas
    Piñas is a barrio (neighborhood or district) within the municipality of Dorado in Puerto Rico.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • D. Capurro
    Capurro is the family surname of American actor and singer Alfred Drake, known for his leading roles in classic Broadway musicals.
  • E. Capiceño
    Capiceño is an alternative name for the Capiznon language, an Austronesian language spoken primarily in the province of Capiz in the Philippines.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8746f7148190a825736a14baeee1 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf33739e388190b7d8d27484d7b269 completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf341c35088190ae60de75d289ce3c completed March 22, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69bf34c52d108190ab3d1c287e745976 completed March 22, 2026, 12:16 a.m.
Created at: March 20, 2026, 2:04 p.m.