Triple
T22905585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fighting Demons |
E568434
|
entity |
| Predicate | featuresVocalist |
P8086
|
FINISHED |
| Object | BTS Suga |
—
|
NE NERFINISHED |
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: BTS Suga | Statement: [Fighting Demons, featuresVocalist, BTS Suga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BTS Suga Context triple: [Fighting Demons, featuresVocalist, BTS Suga]
-
A.
Suga
Suga is a Japanese politician who served as the Prime Minister of Japan from 2020 to 2021.
-
B.
Suga
chosen
Suga is a South Korean rapper, songwriter, and producer best known as a member of the K-pop group BTS and for his solo work under the name Agust D.
-
C.
Jung Kook
Jung Kook is a South Korean singer, dancer, and songwriter best known as the youngest member and main vocalist of the globally successful K-pop group BTS.
-
D.
Kim Woo-hyung
Kim Woo-hyung is a South Korean cinematographer known for his work on notable films including the historical thriller "Assassination."
-
E.
Kim Tae-hyung
Kim Tae-hyung is a South Korean film director best known for his work in the horror and thriller genres.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180198fe88190b2f8c2a827d95fdc |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.