Triple
T12381401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teslim Balogun |
E295752
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Balogun
Balogun is a Yoruba surname commonly borne by notable Nigerian figures, including the pioneering footballer Teslim Balogun.
|
E989955
|
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: Balogun | Statement: [Teslim Balogun, familyName, Balogun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balogun Context triple: [Teslim Balogun, familyName, Balogun]
-
A.
Bukola
Bukola is a given name most notably associated with Nigerian politician and former Senate President Bukola Saraki.
-
B.
Ogunbowale
Ogunbowale is the surname of Arike Ogunbowale, a prominent American professional basketball player known for her clutch performances in college and the WNBA.
-
C.
Adedeji
Adedeji is a Yoruba surname commonly borne in Nigeria, notably by individuals such as the rapper and singer Olamide.
-
D.
Oyelowo
Oyelowo is the surname of David Oyelowo, a British-Nigerian actor known for roles in films such as "Selma" and "The Butler."
-
E.
Ademola
Ademola is a Yoruba surname notably borne by prominent Nigerian figures, including jurist and former Chief Justice Sir Adetokunbo Ademola.
- 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: Balogun Triple: [Teslim Balogun, familyName, Balogun]
Generated description
Balogun is a Yoruba surname commonly borne by notable Nigerian figures, including the pioneering footballer Teslim Balogun.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balogun Target entity description: Balogun is a Yoruba surname commonly borne by notable Nigerian figures, including the pioneering footballer Teslim Balogun.
-
A.
Bukola
Bukola is a given name most notably associated with Nigerian politician and former Senate President Bukola Saraki.
-
B.
Ogunbowale
Ogunbowale is the surname of Arike Ogunbowale, a prominent American professional basketball player known for her clutch performances in college and the WNBA.
-
C.
Adedeji
Adedeji is a Yoruba surname commonly borne in Nigeria, notably by individuals such as the rapper and singer Olamide.
-
D.
Oyelowo
Oyelowo is the surname of David Oyelowo, a British-Nigerian actor known for roles in films such as "Selma" and "The Butler."
-
E.
Ademola
Ademola is a Yoruba surname notably borne by prominent Nigerian figures, including jurist and former Chief Justice Sir Adetokunbo Ademola.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbb3a2481908c2fcb5e6488eb3c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655608a0c81908002f9d79d017ded |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65799ca588190b9f7a07f5c1a842c |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:54 p.m.