Triple

T8309351
Position Surface form Disambiguated ID Type / Status
Subject Ana Villafañe E194549 entity
Predicate familyName P18 FINISHED
Object Villafañe
Villafañe is a Spanish-language surname of likely Iberian origin, borne by various individuals across the Spanish-speaking world.
 E727850 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: Villafañe | Statement: [Ana Villafañe, familyName, Villafañe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villafañe
Context triple: [Ana Villafañe, familyName, Villafañe]
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Argüello
    Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
  • D. San Juan de Flores
    San Juan de Flores is a municipality in central Honduras known for its rural character and location within the Francisco Morazán Department.
  • E. Belén de los Andaquíes
    Belén de los Andaquíes is a small municipality in southern Colombia known for its Amazonian rainforest environment and location within the Caquetá Department.
  • 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: Villafañe
Triple: [Ana Villafañe, familyName, Villafañe]
Generated description
Villafañe is a Spanish-language surname of likely Iberian origin, borne by various individuals across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villafañe
Target entity description: Villafañe is a Spanish-language surname of likely Iberian origin, borne by various individuals across the Spanish-speaking world.
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Argüello
    Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
  • D. San Juan de Flores
    San Juan de Flores is a municipality in central Honduras known for its rural character and location within the Francisco Morazán Department.
  • E. Belén de los Andaquíes
    Belén de los Andaquíes is a small municipality in southern Colombia known for its Amazonian rainforest environment and location within the Caquetá Department.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6e4eb808190b138c52810f35040 completed April 2, 2026, 1:31 a.m.
NEDg Description generation batch_69cdcc8439cc8190b00ce9b0781d0544 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcdd1a0c08190aa15e665a38945e7 completed April 2, 2026, 2 a.m.
Created at: March 30, 2026, 5:54 p.m.