Triple

T4781422
Position Surface form Disambiguated ID Type / Status
Subject Alfréd E106173 entity
Predicate hasCognate P2525 FINISHED
Object Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
 E483951 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: Alfrédo | Statement: [Alfréd, hasCognate, Alfrédo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alfrédo
Context triple: [Alfréd, hasCognate, Alfrédo]
  • A. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • C. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • D. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Armando
    Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many 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: Alfrédo
Triple: [Alfréd, hasCognate, Alfrédo]
Generated description
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alfrédo
Target entity description: Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • A. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • C. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • D. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Armando
    Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65aa577c81909ec1b94e47810169 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89cdee488190b810111df56fa1cb completed March 21, 2026, 12:06 p.m.
NEDg Description generation batch_69be8a493b9c81908294dcf650c0f160 completed March 21, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69be8ace21588190b129cbfb55231f1a completed March 21, 2026, 12:10 p.m.
Created at: March 20, 2026, 1:21 p.m.