Triple

T12481509
Position Surface form Disambiguated ID Type / Status
Subject Tekno E298317 entity
Predicate notableWork P4 FINISHED
Object Jogodo
"Jogodo" is a popular Afrobeats song by Nigerian singer Tekno, known for its catchy rhythm and danceable vibe.
E985616 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: Jogodo | Statement: [Tekno, notableWork, Jogodo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jogodo
Context triple: [Tekno, notableWork, Jogodo]
  • A. Yodogimi
    Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
  • B. Jikawo
    Jikawo is a town in western Ethiopia located in the Gambela Region near the border with South Sudan.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Juketau
    Juketau was a notable medieval settlement within the historical region of Volga Bulgaria, likely serving as a local center of trade or administration.
  • E. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • 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: Jogodo
Triple: [Tekno, notableWork, Jogodo]
Generated description
"Jogodo" is a popular Afrobeats song by Nigerian singer Tekno, known for its catchy rhythm and danceable vibe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jogodo
Target entity description: "Jogodo" is a popular Afrobeats song by Nigerian singer Tekno, known for its catchy rhythm and danceable vibe.
  • A. Yodogimi
    Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
  • B. Jikawo
    Jikawo is a town in western Ethiopia located in the Gambela Region near the border with South Sudan.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Juketau
    Juketau was a notable medieval settlement within the historical region of Volga Bulgaria, likely serving as a local center of trade or administration.
  • E. Taketa
    Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
  • 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.