Triple
T16009771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariyon Bakare |
E388307
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bakare
Bakare is a surname of Yoruba origin borne by various notable individuals, including British actor and director Ariyon Bakare.
|
E1189672
|
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: Bakare | Statement: [Ariyon Bakare, familyName, Bakare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakare Context triple: [Ariyon Bakare, familyName, Bakare]
-
A.
Bakare
Bakare was an ancient Egyptian royal name or throne name associated with the Kushite pharaoh Tantamani of the 25th Dynasty.
-
B.
Bakari
Bakari is the middle name of American actor and filmmaker Michael B. Jordan, known for roles in films like "Creed" and "Black Panther."
-
C.
Bokod
Bokod is a rural municipality in the mountainous province of Benguet in the Philippines, known for its cool climate, scenic landscapes, and agricultural communities.
-
D.
Akpabuyo
Akpabuyo is a coastal local government area in southeastern Nigeria known for its location near Calabar in Cross River State.
-
E.
Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
- 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: Bakare Triple: [Ariyon Bakare, familyName, Bakare]
Generated description
Bakare is a surname of Yoruba origin borne by various notable individuals, including British actor and director Ariyon Bakare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakare Target entity description: Bakare is a surname of Yoruba origin borne by various notable individuals, including British actor and director Ariyon Bakare.
-
A.
Bakare
Bakare was an ancient Egyptian royal name or throne name associated with the Kushite pharaoh Tantamani of the 25th Dynasty.
-
B.
Bakari
Bakari is the middle name of American actor and filmmaker Michael B. Jordan, known for roles in films like "Creed" and "Black Panther."
-
C.
Bokod
Bokod is a rural municipality in the mountainous province of Benguet in the Philippines, known for its cool climate, scenic landscapes, and agricultural communities.
-
D.
Akpabuyo
Akpabuyo is a coastal local government area in southeastern Nigeria known for its location near Calabar in Cross River State.
-
E.
Bakwa
Bakwa is a town and district center in Afghanistan known for its location in the southwestern Farah Province.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828f8c688190a6b365f9140cd2d8 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf24a9d8819083d7b11d71442da6 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd065cb948190b0ad7e89a12ce535 |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1a52de08190a7b283af83be1f42 |
completed | May 10, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:55 a.m.