Triple

T14739460
Position Surface form Disambiguated ID Type / Status
Subject Kadeem Hardison E346303 entity
Predicate givenName P17 FINISHED
Object Kadeem
Kadeem is a male given name most notably associated with American actor Kadeem Hardison.
E1118075 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: Kadeem | Statement: [Kadeem Hardison, givenName, Kadeem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadeem
Context triple: [Kadeem Hardison, givenName, Kadeem]
  • A. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • B. Khalil
    Khalil is a central character in Elias Khoury's novel "Gate of the Sun," representing the experiences and memories of Palestinian displacement and resistance.
  • C. Khalil
    Khalil is a music producer best known for his work on the project "The King & I."
  • D. Antonio Aakeel
    Antonio Aakeel is a British actor known for his roles in film and television, including appearances in projects such as the thriller "I Came By."
  • E. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • 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: Kadeem
Triple: [Kadeem Hardison, givenName, Kadeem]
Generated description
Kadeem is a male given name most notably associated with American actor Kadeem Hardison.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kadeem
Target entity description: Kadeem is a male given name most notably associated with American actor Kadeem Hardison.
  • A. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • B. Khalil
    Khalil is a central character in Elias Khoury's novel "Gate of the Sun," representing the experiences and memories of Palestinian displacement and resistance.
  • C. Khalil
    Khalil is a music producer best known for his work on the project "The King & I."
  • D. Antonio Aakeel
    Antonio Aakeel is a British actor known for his roles in film and television, including appearances in projects such as the thriller "I Came By."
  • E. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb91fdf88190bdcc9a93289f6b7f completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe032bd640819081f4ea36a1503c21 completed May 8, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69fe04120db08190aa903ccc6ddd2267 completed May 8, 2026, 3:41 p.m.
Created at: April 10, 2026, 1:29 a.m.