Triple
T20624648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dropkick Murphys |
E506786
|
entity |
| Predicate | hasEthnicMusicalInfluence |
P44120
|
FINISHED |
| Object | Irish music |
—
|
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: Irish music | Statement: [Dropkick Murphys, hasEthnicMusicalInfluence, Irish music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicMusicalInfluence Context triple: [Dropkick Murphys, hasEthnicMusicalInfluence, Irish music]
-
A.
hasEthnicInfluence
chosen
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
-
B.
hasCulturalRoots
Indicates that something originates from, is shaped by, or is deeply connected to particular cultural traditions, practices, or heritage.
-
C.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
D.
artistEthnicity
Indicates that an artist has a specific ethnic background or affiliation.
-
E.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3d76c8190a8a5cb52bb9bfc2b |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:42 a.m.