Triple
T8424661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEEL THE BEAT |
E198947
|
entity |
| Predicate | musicVideoPerformer |
P1152
|
FINISHED |
| Object | Maluma |
E252637
|
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: Maluma | Statement: [FEEL THE BEAT, musicVideoPerformer, Maluma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maluma Context triple: [FEEL THE BEAT, musicVideoPerformer, Maluma]
-
A.
Maluma
chosen
Maluma is a Colombian reggaeton and Latin pop singer-songwriter known for his chart-topping hits and major influence in contemporary Latin music.
-
B.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
C.
Malumfashi
Malumfashi is a town and local government area in northern Nigeria known for its role as an administrative and commercial center within Katsina State.
-
D.
Malakula
Malakula is one of the largest and most culturally diverse islands of Vanuatu, known for its many distinct languages and traditional customs.
-
E.
Tamalu
Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a0d04481908a5da908cafeceaa |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4db8bd5481909bb41053832f60ba |
completed | April 2, 2026, 11:06 a.m. |
Created at: March 30, 2026, 6:07 p.m.