Triple

T6091659
Position Surface form Disambiguated ID Type / Status
Subject García E135778 entity
Predicate hasNotableBearer P458 FINISHED
Object Fernando García
Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
 E603541 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: Fernando García | Statement: [García, hasNotableBearer, Fernando García]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fernando García
Context triple: [García, hasNotableBearer, Fernando García]
  • A. Fernando Chacón
    Fernando Chacón was a Spanish naval officer best known for his role as a commander in early 18th-century Mediterranean maritime conflicts.
  • B. Pedro García
    Pedro García is a Spanish-language personal name shared by numerous notable individuals across fields such as sports, politics, and the arts.
  • C. 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.
  • D. Fernando Aguirre
    Fernando Aguirre is a character in the 1952 biographical film "Viva Zapata!" about the Mexican revolutionary leader Emiliano Zapata.
  • E. Vicente Navarro
    Vicente Navarro is a Spanish footballer known for playing as a midfielder in the early 20th century, notably for Valencia CF.
  • 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: Fernando García
Triple: [García, hasNotableBearer, Fernando García]
Generated description
Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fernando García
Target entity description: Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • A. Fernando Chacón
    Fernando Chacón was a Spanish naval officer best known for his role as a commander in early 18th-century Mediterranean maritime conflicts.
  • B. Pedro García
    Pedro García is a Spanish-language personal name shared by numerous notable individuals across fields such as sports, politics, and the arts.
  • C. 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.
  • D. Fernando Aguirre
    Fernando Aguirre is a character in the 1952 biographical film "Viva Zapata!" about the Mexican revolutionary leader Emiliano Zapata.
  • E. Vicente Navarro
    Vicente Navarro is a Spanish footballer known for playing as a midfielder in the early 20th century, notably for Valencia CF.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ab7324819086d4708e6f9391c0 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d4fa68c08190bb656aef231a9df0 completed March 27, 2026, 7:05 p.m.
NEDg Description generation batch_69c6d6aba9688190ada4f921768e314e completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d82d77388190a3022a2366a5aec7 completed March 27, 2026, 7:19 p.m.
Created at: March 22, 2026, 4:12 p.m.