Triple
T14241376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naira Marley |
E353013
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Opotoyi
"Opotoyi" is a popular Nigerian street-hop song by Naira Marley known for its catchy beat and influence on contemporary Afrobeats culture.
|
E1088865
|
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: Opotoyi | Statement: [Naira Marley, notableWork, Opotoyi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opotoyi Context triple: [Naira Marley, notableWork, Opotoyi]
-
A.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
-
B.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
C.
Opebi
Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
-
D.
Othomi
Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
-
E.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
- 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: Opotoyi Triple: [Naira Marley, notableWork, Opotoyi]
Generated description
"Opotoyi" is a popular Nigerian street-hop song by Naira Marley known for its catchy beat and influence on contemporary Afrobeats culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opotoyi Target entity description: "Opotoyi" is a popular Nigerian street-hop song by Naira Marley known for its catchy beat and influence on contemporary Afrobeats culture.
-
A.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
-
B.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
C.
Opebi
Opebi is a commercial and residential neighborhood in Lagos, Nigeria, known for its busy Opebi Road, offices, shops, and proximity to major hubs in Ikeja.
-
D.
Othomi
Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
-
E.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6244ad188190b9d9db7914240410 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3253fc2c8190ba2da6fe6a910d85 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33acbce88190ac84ad188aa24726 |
completed | May 8, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd342b64b88190b85383f6f51970ed |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:08 a.m.