Triple
T38449786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Whirlwind Rider |
E912138
|
entity |
| Predicate | hasSettingGenre |
P78941
|
FINISHED |
| Object | American West |
—
|
NE NERFINISHED |
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: American West | Statement: [The Whirlwind Rider, hasSettingGenre, American West]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettingGenre Context triple: [The Whirlwind Rider, hasSettingGenre, American West]
-
A.
hasGenreAsSetting
chosen
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
-
B.
hasUseGenre
Indicates that something (such as a work, product, or item) is associated with or categorized under a particular genre for its use or purpose.
-
C.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
-
D.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
-
E.
hasTargetGenreCategory
Indicates that something is associated with or classified under a specific target genre category.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00d24043e8819090cc473b6c0923d0 |
completed | May 10, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_6a00d1ec12fc81908c514ed088ef8300 |
completed | May 10, 2026, 6:43 p.m. |
Created at: May 3, 2026, 4:31 p.m.