Triple
T23369999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funeral |
E593439
|
entity |
| Predicate | hasNotableWork |
P4
|
FINISHED |
| Object | Darkside |
—
|
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: Darkside | Statement: [Funeral, hasNotableWork, Darkside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darkside Context triple: [Funeral, hasNotableWork, Darkside]
-
A.
Darkside
chosen
Darkside is a track by the American funeral doom metal band Funeral, known for its slow, heavy atmosphere and melancholic tone.
-
B.
Sea of Madness
"Sea of Madness" is a song by the British heavy metal band Iron Maiden from their 1986 album "Somewhere in Time."
-
C.
Dark Delusion
Dark Delusion is a 1947 American drama film, part of MGM’s Dr. Kildare/Dr. Gillespie series, in which Lucille Bremer plays a leading role.
-
D.
Cold Dark Place
Cold Dark Place is an EP by the American metal band Mastodon that showcases a more melodic and atmospheric side of their sound.
-
E.
Hintere Schwärze
Hintere Schwärze is a prominent high Alpine peak in the Ötztal Alps on the Austria–Italy border, popular with experienced mountaineers and ski tourers.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aff84c8190a5a6bf52adae1c9a |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.