Triple

T2730978
Position Surface form Disambiguated ID Type / Status
Subject Vilma Espín E60311 entity
Predicate familyName P18 FINISHED
Object Espín
Espín is a Spanish surname notably borne by Cuban revolutionary and feminist leader Vilma Espín.
 E293418 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: Espín | Statement: [Vilma Espín, familyName, Espín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Espín
Context triple: [Vilma Espín, familyName, Espín]
  • A. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • B. Laínez
    Laínez is a Spanish surname most notably associated with Diego Laínez, a 16th-century Jesuit priest and second Superior General of the Society of Jesus.
  • C. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • D. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • E. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • 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: Espín
Triple: [Vilma Espín, familyName, Espín]
Generated description
Espín is a Spanish surname notably borne by Cuban revolutionary and feminist leader Vilma Espín.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Espín
Target entity description: Espín is a Spanish surname notably borne by Cuban revolutionary and feminist leader Vilma Espín.
  • A. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • B. Laínez
    Laínez is a Spanish surname most notably associated with Diego Laínez, a 16th-century Jesuit priest and second Superior General of the Society of Jesus.
  • C. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • D. Noguera Pallaresa
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • E. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaee29088190bc4c734e48995794 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69c9f648190bbbcfa42ab68c6f2 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb75f5a8c81908648149d27ef7a5a completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb7cdadd08190a7c47e38eee43f90 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.