Triple
T2713817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumebi |
E59920
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Rema |
E59915
|
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: Rema | Statement: [Dumebi, writer, Rema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rema Context triple: [Dumebi, writer, Rema]
-
A.
Rema
Rema is the widely used acronym for Rabbi Moshe Isserles, a prominent 16th-century Polish rabbi and halakhic authority best known for his glosses on the Shulchan Aruch.
-
B.
Rema
chosen
Rema is a Nigerian singer, songwriter, and rapper known for his influential role in modern Afrobeats and hit songs like "Dumebi" and "Calm Down."
-
C.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
-
D.
MNEK
MNEK is a British singer, songwriter, and record producer known for his work in pop and dance music, including collaborations with major artists and his own solo releases.
-
E.
Doja Cat
Doja Cat is an American rapper, singer, songwriter, and producer known for her genre-blending pop and hip-hop hits, viral online presence, and visually inventive music videos.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc63dfd4c819093599e6e1f55e9f8 |
completed | March 10, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:55 p.m.