Triple

T2869377
Position Surface form Disambiguated ID Type / Status
Subject Battle of Cape Passaro E63520 entity
Predicate commander P1061 FINISHED
Object Fernando Chacón
Fernando Chacón was a Spanish naval officer best known for his role as a commander in early 18th-century Mediterranean maritime conflicts.
E383178 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 Chacón | Statement: [Battle of Cape Passaro, commander, Fernando Chacón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Chacón
Context triple: [Battle of Cape Passaro, commander, Fernando Chacón]
  • A. Vicente Navarro
    Vicente Navarro is a Spanish footballer known for playing as a midfielder in the early 20th century, notably for Valencia CF.
  • B. José Palacios
    José Palacios is a character in Gabriel García Márquez’s novel "The General in His Labyrinth," depicted as the loyal servant and companion of Simón Bolívar during the liberator’s final journey.
  • C. José Miaja
    José Miaja was a Spanish Republican general best known for leading the defense of Madrid during the Spanish Civil War.
  • D. Miguel Frías
    Miguel Frías is a Chilean engineer best known as the former husband of renowned writer Isabel Allende.
  • E. Esteban Vicente
    Esteban Vicente was a Spanish-born American abstract expressionist painter and collage artist associated with the New York School.
  • 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 Chacón
Triple: [Battle of Cape Passaro, commander, Fernando Chacón]
Generated description
Fernando Chacón was a Spanish naval officer best known for his role as a commander in early 18th-century Mediterranean maritime conflicts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fernando Chacón
Target entity description: Fernando Chacón was a Spanish naval officer best known for his role as a commander in early 18th-century Mediterranean maritime conflicts.
  • A. Vicente Navarro
    Vicente Navarro is a Spanish footballer known for playing as a midfielder in the early 20th century, notably for Valencia CF.
  • B. José Palacios
    José Palacios is a character in Gabriel García Márquez’s novel "The General in His Labyrinth," depicted as the loyal servant and companion of Simón Bolívar during the liberator’s final journey.
  • C. José Miaja
    José Miaja was a Spanish Republican general best known for leading the defense of Madrid during the Spanish Civil War.
  • D. Miguel Frías
    Miguel Frías is a Chilean engineer best known as the former husband of renowned writer Isabel Allende.
  • E. Esteban Vicente
    Esteban Vicente was a Spanish-born American abstract expressionist painter and collage artist associated with the New York School.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfe15ff081908dd1dad62c292b2b completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4dae657ec81909e8a99e4ccd95bfc completed March 14, 2026, 3:49 a.m.
NEDg Description generation batch_69b4db5f1c0881909a9696a727fac5d4 completed March 14, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc1f3cc48190b1b53bc88a0c3577 completed March 14, 2026, 3:55 a.m.
Created at: March 6, 2026, 10:02 p.m.