Triple
T14209526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Béhanzin |
E352190
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Béhanzin
Béhanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
|
E1085817
|
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: Béhanzin | Statement: [King Béhanzin, name, Béhanzin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béhanzin Context triple: [King Béhanzin, name, Béhanzin]
-
A.
Benhalassa
Benhalassa is a surname of likely North African origin associated with French actress Marie-José Nat.
-
B.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
C.
Bittou
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
-
D.
Bessas
Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
-
E.
Byazhin
Byazhin is a suburban community within Nigeria’s Federal Capital Territory, situated in the Bwari Area Council near Abuja.
- 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: Béhanzin Triple: [King Béhanzin, name, Béhanzin]
Generated description
Béhanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Béhanzin Target entity description: Béhanzin was the last independent king of the Kingdom of Dahomey, known for his resistance against French colonial conquest in the late 19th century.
-
A.
Benhalassa
Benhalassa is a surname of likely North African origin associated with French actress Marie-José Nat.
-
B.
Banzebi
Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
-
C.
Bittou
Bittou is a town in Burkina Faso known for its role as a regional trading center and its international town-twinning links with European municipalities.
-
D.
Bessas
Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
-
E.
Byazhin
Byazhin is a suburban community within Nigeria’s Federal Capital Territory, situated in the Bwari Area Council near Abuja.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19557f908190abb3dc116676f215 |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1b198c6c81909b71a51a39711754 |
completed | May 7, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1bb585448190bc3393304980b808 |
completed | May 7, 2026, 11:09 p.m. |
Created at: April 10, 2026, 1:05 a.m.