Triple
T12321485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Good Time |
E293737
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Naira Marley |
E353013
|
NE FINISHED |
How this triple was built (2 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: Naira Marley | Statement: [A Good Time, featuresArtist, Naira Marley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naira Marley Context triple: [A Good Time, featuresArtist, Naira Marley]
-
A.
Naira Marley
chosen
Naira Marley is a Nigerian singer and rapper known for his street-hop anthems, controversial lyrics, and leading the fanbase known as the "Marlian" movement.
-
B.
Olamide
Olamide is a Nigerian rapper, singer, and songwriter widely recognized as one of the most influential figures in modern Afrobeats and street-pop music.
-
C.
Olamide Faison
Olamide Faison is an American actor and singer known for his work in television and theater, as well as for being the younger brother of actor Donald Faison.
-
D.
M.I Abaga
M.I Abaga is a Nigerian rapper, record producer, and former CEO of Chocolate City, widely regarded as one of Africa’s most influential hip-hop artists.
-
E.
D'banj
D'banj is a Nigerian singer, songwriter, and harmonica player known for his Afrobeat and Afropop hits and international collaborations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cf630a8819094455fc45a815b83 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 8, 2026, 9:53 p.m.