Triple

T4808266
Position Surface form Disambiguated ID Type / Status
Subject Mimi Fariña E106998 entity
Predicate familyName P18 FINISHED
Object Fariña
Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
 E471672 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: Fariña | Statement: [Mimi Fariña, familyName, Fariña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fariña
Context triple: [Mimi Fariña, familyName, Fariña]
  • A. 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.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • D. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • E. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • 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: Fariña
Triple: [Mimi Fariña, familyName, Fariña]
Generated description
Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fariña
Target entity description: Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
  • A. 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.
  • B. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • C. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • D. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • E. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6a98a481909ef273d9946906a4 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da6a9b4819083706381a57e2c73 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4ea556148190819480e219fc7c2c completed March 21, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69be4f57ed4881908c03c76c0b3c733d completed March 21, 2026, 7:57 a.m.
Created at: March 20, 2026, 1:23 p.m.