Triple
T22821807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gar Samuelson |
E565250
|
entity |
| Predicate | genreContribution |
P149876
|
FINISHED |
| Object | helped shape early thrash metal drumming |
—
|
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: helped shape early thrash metal drumming | Statement: [Gar Samuelson, genreContribution, helped shape early thrash metal drumming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreContribution Context triple: [Gar Samuelson, genreContribution, helped shape early thrash metal drumming]
-
A.
genreAssociatedWith
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
-
B.
genreSpecialty
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
C.
genreFunction
Indicates the role or purpose that a genre serves in relation to an entity, such as how it functions within classification, interpretation, or use.
-
D.
genreRelation
Indicates a relationship where one entity is categorized as having, belonging to, or being associated with a particular genre defined by another entity.
-
E.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd11b048190869c0c8a0e3095d7 |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:33 p.m.