Triple

T8111795
Position Surface form Disambiguated ID Type / Status
Subject Josefa Jaramillo E189370 entity
Predicate familyName P18 FINISHED
Object Jaramillo
Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
E738187 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: Jaramillo | Statement: [Josefa Jaramillo, familyName, Jaramillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaramillo
Context triple: [Josefa Jaramillo, familyName, Jaramillo]
  • A. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • B. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • C. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • D. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • E. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • 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: Jaramillo
Triple: [Josefa Jaramillo, familyName, Jaramillo]
Generated description
Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaramillo
Target entity description: Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
  • A. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • B. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • C. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • D. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • E. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432bcb648190b5ddbcc2a3dbc9b1 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d5b80b48190909ca7775fda2ed9 completed April 2, 2026, 11:04 a.m.
NEDg Description generation batch_69ce4f556a408190b404481a32b2457b completed April 2, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_69ce503737a4819083ebf9f410eac826 completed April 2, 2026, 11:17 a.m.
Created at: March 30, 2026, 5:32 p.m.