Triple
T35309279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennui-sur-Blasé |
E1019722
|
entity |
| Predicate | genreOfSetting |
P89582
|
FINISHED |
| Object | comedy-drama |
—
|
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: comedy-drama | Statement: [Ennui-sur-Blasé, genreOfSetting, comedy-drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfSetting Context triple: [Ennui-sur-Blasé, genreOfSetting, comedy-drama]
-
A.
workOfFictionSetting
Indicates that a work of fiction is set in, or primarily takes place within, a particular location, time, or environment.
-
B.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
C.
genreOfWorkSetting
chosen
Indicates the genre category that characterizes the setting in which a work takes place.
-
D.
periodOfFictionalSetting
Indicates the time period in which the events of a fictional work are set.
-
E.
associatedWithFictionalSetting
Indicates that an entity has a connection or relevance to a particular fictional setting or universe.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:03 p.m.