Triple
T12715872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayorkun |
E303835
|
entity |
| Predicate | debutSingle |
P22756
|
FINISHED |
| Object | Eleko |
E997414
|
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: Eleko | Statement: [Mayorkun, debutSingle, Eleko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleko Context triple: [Mayorkun, debutSingle, Eleko]
-
A.
Eleko
chosen
"Eleko" is the breakout debut single by Nigerian singer Mayorkun, which gained widespread popularity for its catchy Afropop sound and helped launch his music career.
-
B.
Poulus
Poulus is a personal name variant derived from the given name Poul.
-
C.
Elezen
Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
-
D.
Leka
Leka is a small island municipality in Trøndelag county, Norway, known for its distinctive geology and coastal landscape.
-
E.
Kogon
Kogon is a small city in Uzbekistan known for its location near the historic center of Bukhara and its role as a local transport and industrial hub.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c802e248190865a6561ad1bf0b6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:23 p.m.