Triple
T14726983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapped in the Closet |
E345968
|
entity |
| Predicate | storyStyle |
P5869
|
FINISHED |
| Object | soap opera–style |
—
|
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: soap opera–style | Statement: [Trapped in the Closet, storyStyle, soap opera–style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyStyle Context triple: [Trapped in the Closet, storyStyle, soap opera–style]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
narrativeStyle
chosen
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
C.
storyEngine
Indicates that one entity functions as a narrative-generating or plot-controlling mechanism for another entity or set of events.
-
D.
storyTitle
Indicates that one entity is the title assigned to a story associated with another entity.
-
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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26013c8819090512f8b4df9cc87 |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.