Triple
T7963509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wande Coal |
E184938
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ojosipe
Ojosipe is the surname of Nigerian singer and songwriter Wande Coal.
|
E708345
|
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: Ojosipe | Statement: [Wande Coal, familyName, Ojosipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ojosipe Context triple: [Wande Coal, familyName, Ojosipe]
-
A.
Temišvar
Temišvar is the Serbian name for Timișoara, a major cultural and economic city in western Romania known for its historical architecture and role in the 1989 Romanian Revolution.
-
B.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
-
C.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
-
D.
Jérica
Jérica is a historic municipality in the province of Castellón, in Spain’s Valencian Community, known for its medieval architecture and prominent Mudejar-style bell tower.
-
E.
Dravograd
Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
- 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: Ojosipe Triple: [Wande Coal, familyName, Ojosipe]
Generated description
Ojosipe is the surname of Nigerian singer and songwriter Wande Coal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ojosipe Target entity description: Ojosipe is the surname of Nigerian singer and songwriter Wande Coal.
-
A.
Temišvar
Temišvar is the Serbian name for Timișoara, a major cultural and economic city in western Romania known for its historical architecture and role in the 1989 Romanian Revolution.
-
B.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
-
C.
Loznica
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
-
D.
Jérica
Jérica is a historic municipality in the province of Castellón, in Spain’s Valencian Community, known for its medieval architecture and prominent Mudejar-style bell tower.
-
E.
Dravograd
Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9f577481908589d10fdc486abb |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc566604e881908792c7155a370e4c |
completed | March 31, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69cc58a76b90819092de63b3b23e70af |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cfccc9c8190adcbaee96c17711e |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 5:12 p.m.