Triple
T35214798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down with the Sickness |
E1016789
|
entity |
| Predicate | hasOpeningSoundEffect |
P22084
|
FINISHED |
| Object | drum and cymbal pattern leading into main riff |
—
|
LITERAL 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: drum and cymbal pattern leading into main riff | Statement: [Down with the Sickness, hasOpeningSoundEffect, drum and cymbal pattern leading into main riff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningSoundEffect Context triple: [Down with the Sickness, hasOpeningSoundEffect, drum and cymbal pattern leading into main riff]
-
A.
hasSound
chosen
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasInitialSound
Indicates that one entity begins with the same initial sound (phoneme or onset) as another entity or specified sound.
-
C.
usesSound
Indicates that one entity employs or relies on sound as a means or tool in relation to another entity or context.
-
D.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
E.
hasSoundSystem
Indicates that an entity is equipped with or includes a sound system as one of its features.
- F. None of above.
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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:02 p.m.