Triple

T9669928
Position Surface form Disambiguated ID Type / Status
Subject Kassia E233998 entity
Predicate knownAs P39 FINISHED
Object Eikasia
Eikasia is the moniker of Kassia, a creator known for her work in digital art and online creative projects.
 E813249 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: Eikasia | Statement: [Kassia, knownAs, Eikasia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eikasia
Context triple: [Kassia, knownAs, Eikasia]
  • A. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • B. Enodia
    Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
  • C. Mondas
    Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
  • D. Tlos
    Tlos is an ancient Lycian hilltop city in southwestern Turkey, known for its rock-cut tombs, acropolis, and extensive archaeological remains overlooking the Xanthos Valley.
  • E. Rovenna
    Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • 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: Eikasia
Triple: [Kassia, knownAs, Eikasia]
Generated description
Eikasia is the moniker of Kassia, a creator known for her work in digital art and online creative projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eikasia
Target entity description: Eikasia is the moniker of Kassia, a creator known for her work in digital art and online creative projects.
  • A. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • B. Enodia
    Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
  • C. Mondas
    Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
  • D. Tlos
    Tlos is an ancient Lycian hilltop city in southwestern Turkey, known for its rock-cut tombs, acropolis, and extensive archaeological remains overlooking the Xanthos Valley.
  • E. Rovenna
    Rovenna is a small village and frazione of the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c3ec17081908c2da74a1d1f49da completed April 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a247ca48190910624dfbf0b491d completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18acf86588190bc000f701bcaaa1c completed April 4, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69d18ba396cc8190a3ded2ac3968c553 completed April 4, 2026, 10:07 p.m.
Created at: March 30, 2026, 8:15 p.m.