Triple

T5591077
Position Surface form Disambiguated ID Type / Status
Subject Luis Antonio Argüello E146878 entity
Predicate familyName P18 FINISHED
Object Argüello
Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
E542344 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: Argüello | Statement: [Luis Antonio Argüello, familyName, Argüello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argüello
Context triple: [Luis Antonio Argüello, familyName, Argüello]
  • A. Argüelles
    Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
  • B. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • C. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • D. Navarrete
    Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
  • E. Almagro
    Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from 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: Argüello
Triple: [Luis Antonio Argüello, familyName, Argüello]
Generated description
Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Argüello
Target entity description: Argüello is a Spanish-language surname of likely Iberian or Latin American origin borne by various notable individuals.
  • A. Argüelles
    Argüelles is a Madrid Metro station serving the Argüelles neighborhood, providing an interchange between several central metro lines.
  • B. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • C. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • D. Navarrete
    Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
  • E. Almagro
    Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a1d4cc8190a52264dfba6aa011 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a00985881909d441cfe05cb6afe completed March 22, 2026, 9:07 p.m.
NEDg Description generation batch_69c05d8890148190a4f81b2c1ca70886 completed March 22, 2026, 9:22 p.m.
NED2 Entity disambiguation (via description) batch_69c06209c3588190a6ededf9c198d5c5 completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:38 p.m.