Triple
T11373223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green River |
E269394
|
entity |
| Predicate | originScene |
P18207
|
FINISHED |
| Object | Seattle music scene |
—
|
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: Seattle music scene | Statement: [Green River, originScene, Seattle music scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originScene Context triple: [Green River, originScene, Seattle music scene]
-
A.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
B.
sharedSceneWith
Indicates that two entities appear together within the same scene or setting.
-
C.
originContext
chosen
Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
-
D.
originalFeature
Indicates that one entity is the initial or source feature from which another feature is derived, modified, or referenced.
-
E.
directorOfScene
Indicates that one entity serves as the director responsible for the creative and practical oversight of a particular scene.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.