Triple
T15167978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Trust My Guitar, Etc. |
E362406
|
entity |
| Predicate | hasMusicSubculture |
P33180
|
FINISHED |
| Object | underground rock |
—
|
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: underground rock | Statement: [I Trust My Guitar, Etc., hasMusicSubculture, underground rock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicSubculture Context triple: [I Trust My Guitar, Etc., hasMusicSubculture, underground rock]
-
A.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
B.
hasCommonMusic
Indicates that two entities share at least one piece of music preference, interest, or item in common.
-
C.
hasMusicCollection
Indicates that one entity possesses or maintains a collection of music items associated with it.
-
D.
styleOfMusic
chosen
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.