Triple
T14587630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunna |
E342356
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | “Fukumean” |
E1107667
|
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: “Fukumean” | Statement: [Gunna, notableSingle, “Fukumean”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Fukumean” Context triple: [Gunna, notableSingle, “Fukumean”]
-
A.
“Fukumean”
chosen
“Fukumean” is a popular trap song by American rapper Gunna, known for its catchy flow, minimalist production, and viral success on streaming platforms and social media.
-
B.
Futsunushi
Futsunushi is a Japanese Shinto war and martial deity often associated with swords, military protection, and the subjugation of hostile lands.
-
C.
Fukutsu
Fukutsu is a coastal city in southwestern Japan known for its beaches and location along the Genkai Sea in Fukuoka Prefecture.
-
D.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
-
E.
Kamoenai
Kamoenai is a small coastal village in Hokkaido, Japan, known for its fishing industry and scenic natural surroundings.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9167b888190abb8f301b0c7c55b |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.