Triple

T9651154
Position Surface form Disambiguated ID Type / Status
Subject Luciana E233335 entity
Predicate hasVariant P455 FINISHED
Object Lucyana
Lucyana is a feminine given name, typically considered a variant spelling of Luciana and related names like Lucía and Lucy.
 E814536 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: Lucyana | Statement: [Luciana, hasVariant, Lucyana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucyana
Context triple: [Luciana, hasVariant, Lucyana]
  • A. Letitia
    Letitia is a feminine given name of Latin origin, commonly associated with the meaning "joy" or "happiness."
  • B. Julia Antonia
    Julia Antonia was a Roman noblewoman of the late Republic, best known as the mother of the triumvir Mark Antony and a member of the influential Antonia gens.
  • C. Alexandrina
    Alexandrina was the first given name of Queen Victoria, the long-reigning 19th-century British monarch.
  • D. Katherine
    Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
  • E. Katherine
    Katherine is one of the witty noblewomen in William Shakespeare’s comedy "Love’s Labour’s Lost," known for her sharp dialogue and role in the play’s romantic entanglements.
  • 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: Lucyana
Triple: [Luciana, hasVariant, Lucyana]
Generated description
Lucyana is a feminine given name, typically considered a variant spelling of Luciana and related names like Lucía and Lucy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucyana
Target entity description: Lucyana is a feminine given name, typically considered a variant spelling of Luciana and related names like Lucía and Lucy.
  • A. Letitia
    Letitia is a feminine given name of Latin origin, commonly associated with the meaning "joy" or "happiness."
  • B. Julia Antonia
    Julia Antonia was a Roman noblewoman of the late Republic, best known as the mother of the triumvir Mark Antony and a member of the influential Antonia gens.
  • C. Alexandrina
    Alexandrina was the first given name of Queen Victoria, the long-reigning 19th-century British monarch.
  • D. Katherine
    Katherine is one of the witty noblewomen in William Shakespeare’s comedy "Love’s Labour’s Lost," known for her sharp dialogue and role in the play’s romantic entanglements.
  • E. Katherine
    Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9baf9a1c819098c407ea7d42e6d1 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190eec94c81909ede398926141f89 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19178f7e8819089d73dcd23aed8a1 completed April 4, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_69d19219cdb081908b44f790f02a25ad completed April 4, 2026, 10:35 p.m.
Created at: March 30, 2026, 8:13 p.m.