Triple
T5147882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatsername |
E116117
|
entity |
| Predicate | storySettingContext |
P45019
|
FINISHED |
| Object | suburban American youth culture |
—
|
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: suburban American youth culture | Statement: [Whatsername, storySettingContext, suburban American youth culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storySettingContext Context triple: [Whatsername, storySettingContext, suburban American youth culture]
-
A.
narrativeSettingOfWork
chosen
Indicates that a particular place, time, or context serves as the narrative setting in which a work’s story or events occur.
-
B.
storyWorld
Indicates the fictional universe or narrative setting within which a story, event, or character exists or takes place.
-
C.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
D.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
E.
storyFunction
Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.