Triple

T13714429
Position Surface form Disambiguated ID Type / Status
Subject Eugenia E328856 entity
Predicate hasVariant P455 FINISHED
Object Eugénia
Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
 E1058124 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: Eugénia | Statement: [Eugenia, hasVariant, Eugénia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eugénia
Context triple: [Eugenia, hasVariant, Eugénia]
  • A. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • B. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • C. Antonina
    Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
  • D. Antónia
    Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
  • E. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • 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: Eugénia
Triple: [Eugenia, hasVariant, Eugénia]
Generated description
Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eugénia
Target entity description: Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
  • A. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • B. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • C. Antonina
    Antonina is a historical novel by Wilkie Collins set in ancient Rome during the Gothic siege of the city.
  • D. Antónia
    Antónia is a feminine given name commonly used in various European languages, often as a variant of Antonia.
  • E. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d56a90081908158dcf4ee061fb6 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f7a15f3c908190be380355972def6e completed May 3, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2234390819093814fd435f9c42c completed May 3, 2026, 7:29 p.m.
Created at: April 9, 2026, 9:54 p.m.