Triple

T2196920
Position Surface form Disambiguated ID Type / Status
Subject Arenas E50395 entity
Predicate hasNotableBearer P458 FINISHED
Object Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
E302537 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: Eduardo Arenas | Statement: [Arenas, hasNotableBearer, Eduardo Arenas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eduardo Arenas
Context triple: [Arenas, hasNotableBearer, Eduardo Arenas]
  • A. Rafael Arenas
    Rafael Arenas is an individual notable enough to be recognized as a prominent bearer of the surname Arenas.
  • B. Rafael Maroto
    Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
  • C. Antonio Ortiz García
    Antonio Ortiz García is a Spanish architect best known as a co-founder of the renowned architectural firm Cruz y Ortiz Arquitectos.
  • D. Gonzalo García Barcha
    Gonzalo García Barcha is a Colombian-Mexican film editor and son of Nobel Prize–winning writer Gabriel García Márquez and Mercedes Barcha.
  • E. Francisco Navarro
    Francisco Navarro is a personal name shared by several notable individuals across fields such as politics, sports, and the arts in Spanish-speaking countries.
  • 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: Eduardo Arenas
Triple: [Arenas, hasNotableBearer, Eduardo Arenas]
Generated description
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eduardo Arenas
Target entity description: Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
  • A. Rafael Arenas
    Rafael Arenas is an individual notable enough to be recognized as a prominent bearer of the surname Arenas.
  • B. Rafael Maroto
    Rafael Maroto was a Spanish general best known for his leading role on the royalist side during the Latin American wars of independence, particularly in Chile.
  • C. Antonio Ortiz García
    Antonio Ortiz García is a Spanish architect best known as a co-founder of the renowned architectural firm Cruz y Ortiz Arquitectos.
  • D. Gonzalo García Barcha
    Gonzalo García Barcha is a Colombian-Mexican film editor and son of Nobel Prize–winning writer Gabriel García Márquez and Mercedes Barcha.
  • E. Francisco Navarro
    Francisco Navarro is a personal name shared by several notable individuals across fields such as politics, sports, and the arts in Spanish-speaking countries.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe86f11108190a1987c1cee133d56 completed March 10, 2026, 9:46 a.m.
NEDg Description generation batch_69afe9395e2081909140e8c464489a08 completed March 10, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69b00009cb5c8190a42c100029d4917b completed March 10, 2026, 11:27 a.m.
Created at: March 4, 2026, 7:46 p.m.