Triple

T82471
Position Surface form Disambiguated ID Type / Status
Subject El Salvador E1657 entity
Predicate headOfState P112 FINISHED
Object Nayib Bukele
Nayib Bukele is the President of El Salvador, known for his hardline security policies, populist style, and promotion of Bitcoin as legal tender.
E7161 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: Nayib Bukele | Statement: [El Salvador, headOfState, Nayib Bukele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nayib Bukele
Context triple: [El Salvador, headOfState, Nayib Bukele]
  • A. Gabriel Boric
    Gabriel Boric is a Chilean politician and former student leader who became one of the youngest presidents in Chile’s history, known for his left-wing, progressive agenda.
  • B. Xanana Gusmão
    Xanana Gusmão is a Timorese independence leader and statesman who became the first president and later prime minister of Timor-Leste after leading the struggle against Indonesian occupation.
  • C. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • D. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • E. Benito Juárez
    Benito Juárez is a centrally located borough (delegación/alcaldía) of Mexico City known for its middle-class residential neighborhoods, commercial areas, and relatively high quality of life.
  • 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: Nayib Bukele
Triple: [El Salvador, headOfState, Nayib Bukele]
Generated description
Nayib Bukele is the President of El Salvador, known for his hardline security policies, populist style, and promotion of Bitcoin as legal tender.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nayib Bukele
Target entity description: Nayib Bukele is the President of El Salvador, known for his hardline security policies, populist style, and promotion of Bitcoin as legal tender.
  • A. Gabriel Boric
    Gabriel Boric is a Chilean politician and former student leader who became one of the youngest presidents in Chile’s history, known for his left-wing, progressive agenda.
  • B. Xanana Gusmão
    Xanana Gusmão is a Timorese independence leader and statesman who became the first president and later prime minister of Timor-Leste after leading the struggle against Indonesian occupation.
  • C. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • D. Juan Bohón
    Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
  • E. Benito Juárez
    Benito Juárez is a centrally located borough (delegación/alcaldía) of Mexico City known for its middle-class residential neighborhoods, commercial areas, and relatively high quality of life.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f367b208190a69f5b76d6ae0496 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25abdf36c819087c4be57bd8ce8c5 completed Feb. 28, 2026, 3:02 a.m.
NEDg Description generation batch_69a25c02d05c819096ee8add17b60d87 completed Feb. 28, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_69a25c8a34e88190bb6b2eae14f773a7 completed Feb. 28, 2026, 3:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.