Triple

T4106672
Position Surface form Disambiguated ID Type / Status
Subject Kote Marjanishvili E88467 entity
Predicate givenName P17 FINISHED
Object Kote
Kote is a Georgian given name commonly used as a diminutive of Konstantine.
 E412325 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: Kote | Statement: [Kote Marjanishvili, givenName, Kote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kote
Context triple: [Kote Marjanishvili, givenName, Kote]
  • A. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • B. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • C. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • D. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • E. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • 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: Kote
Triple: [Kote Marjanishvili, givenName, Kote]
Generated description
Kote is a Georgian given name commonly used as a diminutive of Konstantine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kote
Target entity description: Kote is a Georgian given name commonly used as a diminutive of Konstantine.
  • A. Kin Kletso
    Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
  • B. Kokane
    Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
  • C. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • D. Konerko
    Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
  • E. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019c7a3c8190a503ce80e87dc3b3 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7f88948190b87242e706a488c0 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c0a3b1c81908ae4c630c6881c1c completed March 14, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69b56c94df3481908d2f4a3976fb775b completed March 14, 2026, 2:11 p.m.
Created at: March 9, 2026, 3:40 p.m.