Triple

T15870313
Position Surface form Disambiguated ID Type / Status
Subject Kolo Touré E384813 entity
Predicate givenName P17 FINISHED
Object Kolo
Kolo is the given name of Kolo Touré, a retired Ivorian professional footballer known for his successful career as a defender in the English Premier League and with the Ivory Coast national team.
 E1181504 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: Kolo | Statement: [Kolo Touré, givenName, Kolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kolo
Context triple: [Kolo Touré, givenName, Kolo]
  • A. Kolo
    Kolo is an alternative name for the Ewondo language, a Bantu language spoken primarily in Cameroon.
  • B. Kolo
    Kolo is a town in Ogbia Local Government Area of Bayelsa State in Nigeria, known as one of the communities in the Niger Delta region.
  • C. Kruhlaye
    Kruhlaye is a small town in eastern Belarus, located within the Mogilev Region.
  • D. Koliada
    Koliada is a traditional Slavic winter festival and ritual celebration associated with the winter solstice and later with Christmas, featuring caroling, feasting, and symbolic renewal.
  • E. Kolla
    Kolla is an OpenStack project that provides production-ready containerized deployment tools and images for running OpenStack services using technologies like Docker and Kubernetes.
  • 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: Kolo
Triple: [Kolo Touré, givenName, Kolo]
Generated description
Kolo is the given name of Kolo Touré, a retired Ivorian professional footballer known for his successful career as a defender in the English Premier League and with the Ivory Coast national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kolo
Target entity description: Kolo is the given name of Kolo Touré, a retired Ivorian professional footballer known for his successful career as a defender in the English Premier League and with the Ivory Coast national team.
  • A. Kolo
    Kolo is an alternative name for the Ewondo language, a Bantu language spoken primarily in Cameroon.
  • B. Kolo
    Kolo is a town in Ogbia Local Government Area of Bayelsa State in Nigeria, known as one of the communities in the Niger Delta region.
  • C. Kruhlaye
    Kruhlaye is a small town in eastern Belarus, located within the Mogilev Region.
  • D. Koliada
    Koliada is a traditional Slavic winter festival and ritual celebration associated with the winter solstice and later with Christmas, featuring caroling, feasting, and symbolic renewal.
  • E. Kolla
    Kolla is an OpenStack project that provides production-ready containerized deployment tools and images for running OpenStack services using technologies like Docker and Kubernetes.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155f915788190a8efc3b3380cb829 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94a4d208190805d33da0e433092 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaacbe94881908d4ee2e53d8dbd76 completed May 9, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_69ffab2fdd1c81909439f11ff798c168 completed May 9, 2026, 9:46 p.m.
Created at: April 10, 2026, 4:50 a.m.