Triple
T10247395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon Mba |
E240251
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mba
Mba is a Gabonese surname most notably borne by Léon Mba, the first President of Gabon.
|
E853684
|
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: Mba | Statement: [Léon Mba, familyName, Mba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mba Context triple: [Léon Mba, familyName, Mba]
-
A.
Bimoba
Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
-
B.
Mambae
Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
-
C.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
D.
Mbanika
Mbanika is one of the main islands in the Russell Islands group in the Central Province of the Solomon Islands, known for its World War II history and natural tropical environment.
-
E.
Motigbana
Motigbana is a popular Afrobeats single by Nigerian rapper and singer Olamide, known for its catchy rhythm and street-inspired lyrics.
- 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: Mba Triple: [Léon Mba, familyName, Mba]
Generated description
Mba is a Gabonese surname most notably borne by Léon Mba, the first President of Gabon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mba Target entity description: Mba is a Gabonese surname most notably borne by Léon Mba, the first President of Gabon.
-
A.
Bimoba
Bimoba are an ethnic group primarily inhabiting parts of northern Ghana and neighboring areas of Togo, known for their distinct language and cultural traditions.
-
B.
Mambae
Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
-
C.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
-
D.
Mbanika
Mbanika is one of the main islands in the Russell Islands group in the Central Province of the Solomon Islands, known for its World War II history and natural tropical environment.
-
E.
Motigbana
Motigbana is a popular Afrobeats single by Nigerian rapper and singer Olamide, known for its catchy rhythm and street-inspired lyrics.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22e0d4c8190a6712859924e9d3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7ade8448190830d950b7cee0c34 |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fa303d4c8190b9f1c3addf7d8b09 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6ff301d488190b18f1e02bbf1dada |
completed | April 9, 2026, 1:21 a.m. |
Created at: April 6, 2026, 11:27 a.m.