Triple

T12481463
Position Surface form Disambiguated ID Type / Status
Subject King Promise E298316 entity
Predicate notableWork P4 FINISHED
Object Sisa
"Sisa" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic themes.
 E985604 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: Sisa | Statement: [King Promise, notableWork, Sisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sisa
Context triple: [King Promise, notableWork, Sisa]
  • A. Sisulu
    Sisulu is a prominent South African surname most closely associated with anti-apartheid leader Walter Sisulu and his politically influential family.
  • B. Nolani
    Nolani are the inhabitants or natives of the city of Nola in southern Italy.
  • C. Mafadi
    Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
  • D. Molefe
    Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
  • E. Rokhele
    Rokhele is a central female character in Sholem Aleichem’s Yiddish novel "Stempenyu," portrayed as a young married woman whose emotional turmoil and attraction to the charismatic fiddler Stempenyu drive much of the story’s romantic and moral conflict.
  • 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: Sisa
Triple: [King Promise, notableWork, Sisa]
Generated description
"Sisa" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sisa
Target entity description: "Sisa" is a popular Afrobeats song by Ghanaian singer King Promise, known for its smooth melodies and romantic themes.
  • A. Sisulu
    Sisulu is a prominent South African surname most closely associated with anti-apartheid leader Walter Sisulu and his politically influential family.
  • B. Nolani
    Nolani are the inhabitants or natives of the city of Nola in southern Italy.
  • C. Mafadi
    Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
  • D. Molefe
    Molefe is a Southern African surname commonly found among Tswana- and Sotho-speaking communities.
  • E. Rokhele
    Rokhele is a central female character in Sholem Aleichem’s Yiddish novel "Stempenyu," portrayed as a young married woman whose emotional turmoil and attraction to the charismatic fiddler Stempenyu drive much of the story’s romantic and moral conflict.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6437e88c881909b7f1d55c11b0825 completed May 2, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69f644464c0c8190a8d4ea4914d32e7f completed May 2, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:56 p.m.