Triple
T7963333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Don Come |
E184932
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Egweji
Egweji is a song by King Don Come, likely rooted in contemporary African or Afro-fusion musical styles.
|
E703310
|
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: Egweji | Statement: [King Don Come, hasTrack, Egweji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egweji Context triple: [King Don Come, hasTrack, Egweji]
-
A.
Ijesha
Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
-
B.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
C.
Ekwensu
Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
-
D.
Ngwena
Ngwena is the nickname of Emmerson Mnangagwa, the Zimbabwean politician and president known for his long-standing role in the country’s ruling party and post-Mugabe leadership.
-
E.
Wakema
Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
- 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: Egweji Triple: [King Don Come, hasTrack, Egweji]
Generated description
Egweji is a song by King Don Come, likely rooted in contemporary African or Afro-fusion musical styles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egweji Target entity description: Egweji is a song by King Don Come, likely rooted in contemporary African or Afro-fusion musical styles.
-
A.
Ijesha
Ijesha are a subgroup of the Yoruba people known for their distinct dialect, cultural traditions, and historical presence in southwestern Nigeria.
-
B.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
C.
Ekwensu
Ekwensu is a deity in the Odinani traditional religion of the Igbo people, often associated with war, negotiation, and trickery.
-
D.
Ngwena
Ngwena is the nickname of Emmerson Mnangagwa, the Zimbabwean politician and president known for his long-standing role in the country’s ruling party and post-Mugabe leadership.
-
E.
Wakema
Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe093f00881909317eb4dd4fa1393 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe43b20148190ba9a4dd00a9f5862 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3307ebd481908c1ec4b0be270a77 |
completed | March 31, 2026, 8:48 p.m. |
Created at: March 30, 2026, 5:12 p.m.