Triple

T5987437
Position Surface form Disambiguated ID Type / Status
Subject Fermín Francisco de Lasuén E133262 entity
Predicate givenName P17 FINISHED
Object Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
 E580801 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: Fermín | Statement: [Fermín Francisco de Lasuén, givenName, Fermín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fermín
Context triple: [Fermín Francisco de Lasuén, givenName, Fermín]
  • A. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • B. Indalecio
    Indalecio is a masculine given name of Spanish origin, notably borne by the Spanish socialist politician Indalecio Prieto.
  • C. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • D. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in 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: Fermín
Triple: [Fermín Francisco de Lasuén, givenName, Fermín]
Generated description
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fermín
Target entity description: Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
  • A. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • B. Indalecio
    Indalecio is a masculine given name of Spanish origin, notably borne by the Spanish socialist politician Indalecio Prieto.
  • C. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • D. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc38a308190a368c5c787a5fc64 completed March 22, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2439f6cc08190bb7a4c6a0b7727c6 completed March 24, 2026, 7:56 a.m.
NEDg Description generation batch_69c4fb66b8e8819090524d1ef12688a7 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc3065bc81908d95fbd3d4655c76 completed March 26, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:04 p.m.