Triple
T13988824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sea of Grass |
E336512
|
entity |
| Predicate | filmGenreCombination |
P85590
|
FINISHED |
| Object | American Western drama film |
—
|
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: American Western drama film | Statement: [The Sea of Grass, filmGenreCombination, American Western drama film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmGenreCombination Context triple: [The Sea of Grass, filmGenreCombination, American Western drama film]
-
A.
sourceFilmGenre
Indicates that a film is classified as belonging to a particular genre.
-
B.
combinesGenre
chosen
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
C.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
D.
featuredInFilmGenre
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
E.
distributedFilmGenre
Indicates that an entity (such as a company or distributor) distributed a film belonging to a particular genre.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.