Triple

T13714433
Position Surface form Disambiguated ID Type / Status
Subject Eugenia E328856 entity
Predicate hasVariant P455 FINISHED
Object Eugeneia
Eugeneia is an alternative spelling or variant form of the given name Eugenia, which is derived from Greek and traditionally associated with nobility or good birth.
 E1058125 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: Eugeneia | Statement: [Eugenia, hasVariant, Eugeneia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eugeneia
Context triple: [Eugenia, hasVariant, Eugeneia]
  • A. Leontia
    Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
  • B. Giannina
    Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
  • C. Agaphia
    Agaphia is a feminine given name of Slavic origin, notably borne by Agaphia Grushevskaya.
  • D. Clelia
    Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
  • E. Agathé
    Agathé is the ancient Greek name for the historic Mediterranean port city now known as Agde in southern France.
  • 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: Eugeneia
Triple: [Eugenia, hasVariant, Eugeneia]
Generated description
Eugeneia is an alternative spelling or variant form of the given name Eugenia, which is derived from Greek and traditionally associated with nobility or good birth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eugeneia
Target entity description: Eugeneia is an alternative spelling or variant form of the given name Eugenia, which is derived from Greek and traditionally associated with nobility or good birth.
  • A. Leontia
    Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
  • B. Giannina
    Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
  • C. Agaphia
    Agaphia is a feminine given name of Slavic origin, notably borne by Agaphia Grushevskaya.
  • D. Clelia
    Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
  • E. Agathé
    Agathé is the ancient Greek name for the historic Mediterranean port city now known as Agde in southern France.
  • 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.