Triple
T12756439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adedeji |
E304871
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Remi Adedeji
Remi Adedeji is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Adedeji.
|
E1001834
|
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: Remi Adedeji | Statement: [Adedeji, hasNotableBearer, Remi Adedeji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remi Adedeji Context triple: [Adedeji, hasNotableBearer, Remi Adedeji]
-
A.
Rilwan Akiolu
Rilwan Akiolu is a Nigerian traditional ruler and former police officer who serves as the Oba (king) of Lagos, one of the most influential monarchs in southwestern Nigeria.
-
B.
Michael Ajao
Michael Ajao is a British actor known for his role in the psychological horror film "Last Night in Soho."
-
C.
Remi Adefarasin
Remi Adefarasin is a British cinematographer renowned for his work on both film and television, including acclaimed projects such as "Elizabeth" and "Band of Brothers."
-
D.
Rafael Akinyemi
Rafael Akinyemi is a songwriter known for his association with the musical project Womanizer.
-
E.
Toheeb Jimoh
Toheeb Jimoh is a British actor best known for his role as young footballer Sam Obisanya in the acclaimed comedy-drama series "Ted Lasso."
- 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: Remi Adedeji Triple: [Adedeji, hasNotableBearer, Remi Adedeji]
Generated description
Remi Adedeji is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Adedeji.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Remi Adedeji Target entity description: Remi Adedeji is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Adedeji.
-
A.
Rilwan Akiolu
Rilwan Akiolu is a Nigerian traditional ruler and former police officer who serves as the Oba (king) of Lagos, one of the most influential monarchs in southwestern Nigeria.
-
B.
Michael Ajao
Michael Ajao is a British actor known for his role in the psychological horror film "Last Night in Soho."
-
C.
Remi Adefarasin
Remi Adefarasin is a British cinematographer renowned for his work on both film and television, including acclaimed projects such as "Elizabeth" and "Band of Brothers."
-
D.
Rafael Akinyemi
Rafael Akinyemi is a songwriter known for his association with the musical project Womanizer.
-
E.
Toheeb Jimoh
Toheeb Jimoh is a British actor best known for his role as young footballer Sam Obisanya in the acclaimed comedy-drama series "Ted Lasso."
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8b57b88190b29b8fdca415c81c |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f08fac8190b8c480619696bcd1 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:27 p.m.