Triple
T37138723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staff Sergeant Wilhelm |
E920044
|
entity |
| Predicate | notableSceneSetting |
—
|
GENERATED |
| Object | French tavern |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSceneSetting Context triple: [Staff Sergeant Wilhelm, notableSceneSetting, French tavern]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
notableSceneProp
Indicates that an object or element serves as a significant or prominently featured prop within a particular scene.
-
C.
notableSceneAssociation
chosen
Indicates an association between an entity and a notable or memorable scene in which it prominently appears or plays a significant role.
-
D.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
E.
notableAsSettingOf
Indicates that a place or environment is recognized as the setting where the events of a particular work (e.g., book, film, story) take place.
- F. None of above.
Provenance (1 batch)
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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.