Triple

T12491652
Position Surface form Disambiguated ID Type / Status
Subject Asake E298579 entity
Predicate notableSong P4 FINISHED
Object Joha
"Joha" is a popular Afrobeats track by Nigerian singer Asake, known for its catchy rhythm and street-influenced sound.
 E988215 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: Joha | Statement: [Asake, notableSong, Joha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joha
Context triple: [Asake, notableSong, Joha]
  • A. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • B. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Jahanka
    Jahanka is a Mande language spoken primarily by the Jahanka people of West Africa, particularly in Guinea and neighboring countries.
  • E. Jauro
    Jauro is an alternative name for the Yawuru, an Aboriginal Australian people traditionally associated with the Broome region of Western Australia.
  • 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: Joha
Triple: [Asake, notableSong, Joha]
Generated description
"Joha" is a popular Afrobeats track by Nigerian singer Asake, known for its catchy rhythm and street-influenced sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joha
Target entity description: "Joha" is a popular Afrobeats track by Nigerian singer Asake, known for its catchy rhythm and street-influenced sound.
  • A. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • B. Johan
    Johan is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Jahanka
    Jahanka is a Mande language spoken primarily by the Jahanka people of West Africa, particularly in Guinea and neighboring countries.
  • E. Jauro
    Jauro is an alternative name for the Yawuru, an Aboriginal Australian people traditionally associated with the Broome region of Western Australia.
  • 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_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba9e1108190b74984d9da9baebe completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c535c9881908e5bf07d13fa73c5 completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f6508afef08190ac7a19b1ee90141e completed May 2, 2026, 7:29 p.m.
Created at: April 8, 2026, 9:56 p.m.