Triple
T12991353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selebobo |
E321912
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Gon Gon
"Gon Gon" is a popular Afrobeat song by Nigerian singer and producer Selebobo, known for its catchy rhythm and danceable vibe.
|
E1014018
|
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: Gon Gon | Statement: [Selebobo, notableWork, Gon Gon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gon Gon Context triple: [Selebobo, notableWork, Gon Gon]
-
A.
Gooigi
Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
-
B.
Gub-Gub
Gub-Gub is a fictional talking pig and one of Doctor Dolittle’s most loyal animal companions in Hugh Lofting’s children’s book series.
-
C.
Gopchik
Gopchik is a young, resourceful fellow prisoner in Aleksandr Solzhenitsyn’s novel "One Day in the Life of Ivan Denisovich," noted for his adaptability and survival instincts in the labor camp.
-
D.
Boni
Boni is an Italian surname shared by various notable figures in fields such as archaeology, politics, and the arts.
-
E.
Gotay
Gotay is a reggaeton artist and music producer known for his work in the Latin urban music scene.
- 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: Gon Gon Triple: [Selebobo, notableWork, Gon Gon]
Generated description
"Gon Gon" is a popular Afrobeat song by Nigerian singer and producer Selebobo, known for its catchy rhythm and danceable vibe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gon Gon Target entity description: "Gon Gon" is a popular Afrobeat song by Nigerian singer and producer Selebobo, known for its catchy rhythm and danceable vibe.
-
A.
Gooigi
Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
-
B.
Gub-Gub
Gub-Gub is a fictional talking pig and one of Doctor Dolittle’s most loyal animal companions in Hugh Lofting’s children’s book series.
-
C.
Gopchik
Gopchik is a young, resourceful fellow prisoner in Aleksandr Solzhenitsyn’s novel "One Day in the Life of Ivan Denisovich," noted for his adaptability and survival instincts in the labor camp.
-
D.
Boni
Boni is an Italian surname shared by various notable figures in fields such as archaeology, politics, and the arts.
-
E.
Gotay
Gotay is a reggaeton artist and music producer known for his work in the Latin urban music scene.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6baa76e8c8190b84fd31657ef3385 |
completed | May 3, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.