Triple
T12299046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukola Saraki |
E293167
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Saraki
Saraki is a prominent Nigerian political family name most notably borne by Bukola Saraki, a former President of the Nigerian Senate.
|
E976338
|
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: Saraki | Statement: [Bukola Saraki, familyName, Saraki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saraki Context triple: [Bukola Saraki, familyName, Saraki]
-
A.
Makira
Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
-
B.
Fagara
Fagara is a genus of flowering plants in the citrus family Rutaceae, known for species that often have aromatic properties and spiny stems.
-
C.
Sapele
Sapele is a prominent town in Delta State, Nigeria, known as a commercial and industrial hub in the Niger Delta region.
-
D.
Balau Iban
Balau Iban is a regional dialect of the Iban language spoken by Iban communities in parts of Sarawak, Malaysia.
-
E.
Makuti
Makuti is a small settlement in northern Zimbabwe that serves as a key junction and rest stop on the main road between Harare, Kariba, and Chirundu.
- 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: Saraki Triple: [Bukola Saraki, familyName, Saraki]
Generated description
Saraki is a prominent Nigerian political family name most notably borne by Bukola Saraki, a former President of the Nigerian Senate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saraki Target entity description: Saraki is a prominent Nigerian political family name most notably borne by Bukola Saraki, a former President of the Nigerian Senate.
-
A.
Makira
Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
-
B.
Fagara
Fagara is a genus of flowering plants in the citrus family Rutaceae, known for species that often have aromatic properties and spiny stems.
-
C.
Sapele
Sapele is a prominent town in Delta State, Nigeria, known as a commercial and industrial hub in the Niger Delta region.
-
D.
Balau Iban
Balau Iban is a regional dialect of the Iban language spoken by Iban communities in parts of Sarawak, Malaysia.
-
E.
Makuti
Makuti is a small settlement in northern Zimbabwe that serves as a key junction and rest stop on the main road between Harare, Kariba, and Chirundu.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93eda55148190b720e479163d36e7 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e7b88d08190a195a294a7fbd168 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f620759f348190baa9af5b33d4e37f |
completed | May 2, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f624bf23948190b182e4c31564d210 |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 8, 2026, 9:52 p.m.