Triple
T18194145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whoracle |
E435613
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | In Flames |
—
|
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: In Flames | Statement: [Whoracle, performer, In Flames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In Flames Context triple: [Whoracle, performer, In Flames]
-
A.
In Flames
chosen
In Flames is a pioneering Swedish metal band widely credited with shaping the Gothenburg melodic death metal sound and influencing modern metal worldwide.
-
B.
Sonata Arctica
Sonata Arctica is a Finnish power metal band known for its melodic, keyboard-driven sound and emotionally charged lyrics.
-
C.
Jaska
Jaska is a Finnish diminutive form of the male given name Jaakko, commonly used as a familiar or affectionate nickname.
-
D.
Delain
Delain is a Dutch symphonic metal band known for its melodic, orchestral sound and collaborations with prominent vocalists from the genre.
-
E.
Amorphis
Amorphis is a Finnish metal band known for blending death metal with progressive and folk influences, often drawing on the national epic Kalevala for lyrical themes.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.