Triple
T22235113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Country Practice |
E549571
|
entity |
| Predicate | typicalStoryStructure |
P35676
|
FINISHED |
| Object | self-contained episodes with ongoing serial storylines |
—
|
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: self-contained episodes with ongoing serial storylines | Statement: [A Country Practice, typicalStoryStructure, self-contained episodes with ongoing serial storylines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStoryStructure Context triple: [A Country Practice, typicalStoryStructure, self-contained episodes with ongoing serial storylines]
-
A.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
B.
storyElement
chosen
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
C.
storyTitle
Indicates that one entity is the title assigned to a story associated with another entity.
-
D.
storyFunction
Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
-
E.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.