Triple

T2429603
Position Surface form Disambiguated ID Type / Status
Subject Alberto Lleras Camargo E52810 entity
Predicate familyName P18 FINISHED
Object Camargo
Camargo is a Spanish-origin surname borne by numerous individuals and families across the Spanish- and Portuguese-speaking world.
E264849 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: Camargo | Statement: [Alberto Lleras Camargo, familyName, Camargo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camargo
Context triple: [Alberto Lleras Camargo, familyName, Camargo]
  • A. Iberê Camargo
    Iberê Camargo was a prominent Brazilian painter and printmaker known for his expressionist style and significant influence on 20th-century Brazilian art.
  • B. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • C. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • D. Salina Cruz
    Salina Cruz is a major Pacific port city in southern Mexico known for its strategic role in maritime trade and the oil industry.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • 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: Camargo
Triple: [Alberto Lleras Camargo, familyName, Camargo]
Generated description
Camargo is a Spanish-origin surname borne by numerous individuals and families across the Spanish- and Portuguese-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Camargo
Target entity description: Camargo is a Spanish-origin surname borne by numerous individuals and families across the Spanish- and Portuguese-speaking world.
  • A. Iberê Camargo
    Iberê Camargo was a prominent Brazilian painter and printmaker known for his expressionist style and significant influence on 20th-century Brazilian art.
  • B. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • C. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • D. Salina Cruz
    Salina Cruz is a major Pacific port city in southern Mexico known for its strategic role in maritime trade and the oil industry.
  • E. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99fcd048190a85b95a9a8ae6d4d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6634a48190af82eab6b9750323 completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec2a3f4708190a6c51f28833174e3 completed March 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69aec3626a7081908f1ccef98e9b96be completed March 9, 2026, 12:56 p.m.
Created at: March 6, 2026, 9:43 p.m.