Triple

T7912839
Position Surface form Disambiguated ID Type / Status
Subject Carlos de Montúfar E183740 entity
Predicate familyName P18 FINISHED
Object Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
 E731620 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: Montúfar | Statement: [Carlos de Montúfar, familyName, Montúfar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montúfar
Context triple: [Carlos de Montúfar, familyName, Montúfar]
  • A. Herrero
    Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
  • B. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • C. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • 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: Montúfar
Triple: [Carlos de Montúfar, familyName, Montúfar]
Generated description
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montúfar
Target entity description: Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • A. Herrero
    Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
  • B. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • C. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • D. Esquivel
    Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
  • E. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a7383cc819084eab19799209d2e completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce01c37978819090922f7fc273edc9 completed April 2, 2026, 5:42 a.m.
NEDg Description generation batch_69ce064211e48190b558d4355be659ba completed April 2, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69ce07a390048190ac26a7e3d3d561e0 completed April 2, 2026, 6:07 a.m.
Created at: March 30, 2026, 5:04 p.m.