Triple

T3079883
Position Surface form Disambiguated ID Type / Status
Subject Sergei E64229 entity
Predicate hasVariant P455 FINISHED
Object Sergio
Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
 E331003 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: Sergio | Statement: [Sergei, hasVariant, Sergio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sergio
Context triple: [Sergei, hasVariant, Sergio]
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • C. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • D. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • E. Javier
    Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • 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: Sergio
Triple: [Sergei, hasVariant, Sergio]
Generated description
Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sergio
Target entity description: Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
  • A. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • B. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • C. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • D. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • E. Javier
    Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a9d61081909953eb2f4ad4537e completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224bbc4088190bdbb0a214b512944 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b225a549688190b322c770eb7c61ac completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b225fef06081908dcd8201def1ad95 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:03 p.m.