Triple
T18194043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carcass |
E435610
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Napalm Death |
—
|
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: Napalm Death | Statement: [Carcass, associatedAct, Napalm Death]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napalm Death Context triple: [Carcass, associatedAct, Napalm Death]
-
A.
Napalm Death
chosen
Napalm Death is a pioneering British extreme metal band widely credited with helping to create and popularize the grindcore genre.
-
B.
Godflesh
Godflesh is an influential English industrial metal band known for pioneering a harsh, mechanical fusion of metal, industrial, and experimental music.
-
C.
Deicide
Deicide is an American death metal band known for its blasphemous themes, aggressive sound, and influential role in shaping the genre since the late 1980s.
-
D.
Fear Factory
Fear Factory is an American heavy metal band known for pioneering a blend of industrial, death, and groove metal with mechanized rhythms and dystopian themes.
-
E.
My Dying Bride
My Dying Bride is a British doom metal band known for its melancholic, atmospheric sound and influential role in the development of the genre since the early 1990s.
- 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.