Triple

T20773302
Position Surface form Disambiguated ID Type / Status
Subject Vibeke E511291 entity
Predicate hasVariant P455 FINISHED
Object Viveka
Viveka is a feminine given name, primarily used in Scandinavian and Indian contexts, often associated with meanings related to wisdom or discernment.
 E1450392 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: Viveka | Statement: [Vibeke, hasVariant, Viveka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viveka
Context triple: [Vibeke, hasVariant, Viveka]
  • A. Elys
    Elys is a variant form of the given name Ellis, used as an alternative spelling or stylistic variation.
  • B. Nivala
    Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
  • C. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • D. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • E. Mediona
    Mediona is a small municipality in Catalonia, Spain, known for its rural landscape, vineyards, and historic castles.
  • 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: Viveka
Triple: [Vibeke, hasVariant, Viveka]
Generated description
Viveka is a feminine given name, primarily used in Scandinavian and Indian contexts, often associated with meanings related to wisdom or discernment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viveka
Target entity description: Viveka is a feminine given name, primarily used in Scandinavian and Indian contexts, often associated with meanings related to wisdom or discernment.
  • A. Elys
    Elys is a variant form of the given name Ellis, used as an alternative spelling or stylistic variation.
  • B. Nivala
    Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
  • C. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • D. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • E. Mediona
    Mediona is a small municipality in Catalonia, Spain, known for its rural landscape, vineyards, and historic castles.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c269638881909d96b847f7de5585 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef93cc608190b22637860b3882f9 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f40a1d1481908c8b87b947f1bf6d completed May 16, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_6a08f46ea5788190ae545262d4cd70c1 completed May 16, 2026, 10:49 p.m.
Created at: April 16, 2026, 12:37 p.m.