Triple
T33382439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Lee Sparta |
E854818
|
entity |
| Predicate | musicalSubculture |
P151586
|
FINISHED |
| Object | Gothic dancehall |
—
|
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: Gothic dancehall | Statement: [Tommy Lee Sparta, musicalSubculture, Gothic dancehall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalSubculture Context triple: [Tommy Lee Sparta, musicalSubculture, Gothic dancehall]
-
A.
basedOnSubculture
Indicates that something is derived from, influenced by, or rooted in a particular subculture.
-
B.
inMusicCulture
chosen
Indicates that something is part of, associated with, or situated within a particular music-related cultural context or tradition.
-
C.
notableSubculture
Indicates that one entity is a significant or well-recognized subculture within the context or domain of the other entity.
-
D.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
musicalScene
Indicates a relationship where a scene in a work prominently features musical performance or music-driven action.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 1, 2026, 1:35 a.m.