Triple

T9337567
Position Surface form Disambiguated ID Type / Status
Subject Kwame E224682 entity
Predicate isNameOf P744 FINISHED
Object Kwame Karikari
Kwame Karikari is a Ghanaian professional footballer known for playing as a forward for various clubs in Europe and Asia.
E795458 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: Kwame Karikari | Statement: [Kwame, isNameOf, Kwame Karikari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwame Karikari
Context triple: [Kwame, isNameOf, Kwame Karikari]
  • A. Kofi Jamar
    Kofi Jamar is a Ghanaian rapper, singer, and songwriter known for his blend of hip hop, Afrobeat, and drill music.
  • B. Kofi Burbridge
    Kofi Burbridge was an American multi-instrumentalist and composer best known as the longtime keyboardist and flutist for the Tedeschi Trucks Band and the Derek Trucks Band.
  • C. Thomas Kojo
    Thomas Kojo is a Liberian former professional footballer and coach best known for his role as a defender and his involvement with the Liberia national team.
  • D. Kwame Ampadu
    Kwame Ampadu is a former professional footballer and coach, best known for his playing career as a midfielder and subsequent coaching roles in English and European football.
  • E. Kofi Siriboe
    Kofi Siriboe is an American actor and model best known for his role as Ralph Angel Bordelon on the television series "Queen Sugar."
  • 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: Kwame Karikari
Triple: [Kwame, isNameOf, Kwame Karikari]
Generated description
Kwame Karikari is a Ghanaian professional footballer known for playing as a forward for various clubs in Europe and Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kwame Karikari
Target entity description: Kwame Karikari is a Ghanaian professional footballer known for playing as a forward for various clubs in Europe and Asia.
  • A. Kofi Jamar
    Kofi Jamar is a Ghanaian rapper, singer, and songwriter known for his blend of hip hop, Afrobeat, and drill music.
  • B. Kofi Burbridge
    Kofi Burbridge was an American multi-instrumentalist and composer best known as the longtime keyboardist and flutist for the Tedeschi Trucks Band and the Derek Trucks Band.
  • C. Thomas Kojo
    Thomas Kojo is a Liberian former professional footballer and coach best known for his role as a defender and his involvement with the Liberia national team.
  • D. Kwame Ampadu
    Kwame Ampadu is a former professional footballer and coach, best known for his playing career as a midfielder and subsequent coaching roles in English and European football.
  • E. Kofi Siriboe
    Kofi Siriboe is an American actor and model best known for his role as Ralph Angel Bordelon on the television series "Queen Sugar."
  • 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_69ca84286fcc81909f6e7fd7a7e862a2 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37f312408190b5501432a6a855b7 completed April 1, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c7f3748190bfa4c3a4df8c5d42 completed April 4, 2026, 12:15 p.m.
NEDg Description generation batch_69d101678e7c8190b94930137d400645 completed April 4, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69d10222bd7c8190bf4f2c3a2095413f completed April 4, 2026, 12:20 p.m.
Created at: March 30, 2026, 7:40 p.m.