Triple
T8413158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castlevania: Bloodlines |
E198669
|
entity |
| Predicate | audioStyle |
P81859
|
FINISHED |
| Object | chiptune soundtrack |
—
|
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: chiptune soundtrack | Statement: [Castlevania: Bloodlines, audioStyle, chiptune soundtrack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioStyle Context triple: [Castlevania: Bloodlines, audioStyle, chiptune soundtrack]
-
A.
audibleIn
Indicates that a sound produced by one entity can be heard within the spatial or contextual range of another entity.
-
B.
audioOnlyFeatureIntroduced
Indicates that a feature has been introduced which supports or enables audio-only functionality, without accompanying visual content.
-
C.
speakerConfiguration
Indicates how speakers are arranged or assigned within an audio or communication setup.
-
D.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
E.
usesAudioFrom
Indicates that one entity incorporates or relies on the audio content produced or provided by another entity.
- F. None of above. chosen
Provenance (4 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:06 p.m.