Triple

T19968859
Position Surface form Disambiguated ID Type / Status
Subject Antonio Muñoz Molina E480015 entity
Predicate familyName P18 FINISHED
Object Muñoz Molina
Muñoz Molina is the surname of Spanish writer Antonio Muñoz Molina, a prominent contemporary novelist and essayist.
 E1405218 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: Muñoz Molina | Statement: [Antonio Muñoz Molina, familyName, Muñoz Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muñoz Molina
Context triple: [Antonio Muñoz Molina, familyName, Muñoz Molina]
  • A. Martínez del Hoyo
    Martínez del Hoyo is the Spanish family name of legendary Cuban prima ballerina assoluta Alicia Alonso.
  • B. César Aramburu
    César Aramburu is a notable individual recognized as a prominent bearer of the Aramburu surname.
  • C. Antonio López Habas
    Antonio López Habas is a Spanish football manager best known for leading Atlético de Kolkata to success in the Indian Super League.
  • D. Mariano Sanz de Santamaría
    Mariano Sanz de Santamaría was a Colombian architect best known for designing Bogotá’s National Capitol building, a landmark of neoclassical architecture and national governance.
  • E. Manuel Espinosa Yglesias
    Manuel Espinosa Yglesias was a prominent Mexican banker and philanthropist known for his influential role in Mexico’s financial sector and his support of cultural institutions.
  • 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: Muñoz Molina
Triple: [Antonio Muñoz Molina, familyName, Muñoz Molina]
Generated description
Muñoz Molina is the surname of Spanish writer Antonio Muñoz Molina, a prominent contemporary novelist and essayist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muñoz Molina
Target entity description: Muñoz Molina is the surname of Spanish writer Antonio Muñoz Molina, a prominent contemporary novelist and essayist.
  • A. Martínez del Hoyo
    Martínez del Hoyo is the Spanish family name of legendary Cuban prima ballerina assoluta Alicia Alonso.
  • B. César Aramburu
    César Aramburu is a notable individual recognized as a prominent bearer of the Aramburu surname.
  • C. Antonio López Habas
    Antonio López Habas is a Spanish football manager best known for leading Atlético de Kolkata to success in the Indian Super League.
  • D. Mariano Sanz de Santamaría
    Mariano Sanz de Santamaría was a Colombian architect best known for designing Bogotá’s National Capitol building, a landmark of neoclassical architecture and national governance.
  • E. Manuel Espinosa Yglesias
    Manuel Espinosa Yglesias was a prominent Mexican banker and philanthropist known for his influential role in Mexico’s financial sector and his support of cultural institutions.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc7c2fc81909b89c549a5f99e4c completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804f72b288190ae03a856d3581508 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0805ff590c8190afe9f275675cbb27 completed May 16, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0806ab6cdc8190bd11822e0f5426cc completed May 16, 2026, 5:54 a.m.
Created at: April 10, 2026, 1:54 p.m.