Triple
T17018440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duck Butter |
E412880
|
entity |
| Predicate | LGBTFilm |
P45364
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Duck Butter, LGBTFilm, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LGBTFilm Context triple: [Duck Butter, LGBTFilm, yes]
-
A.
hasLGBTCharacter
Indicates that the subject includes, features, or is associated with one or more characters who identify as lesbian, gay, bisexual, or transgender.
-
B.
hasLGBTTheme
chosen
Indicates that the subject includes, features, or centrally involves lesbian, gay, bisexual, or transgender themes or issues.
-
C.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
D.
cultFilm
Indicates that a film has acquired a dedicated, passionate fan following, often despite limited mainstream success or initial popularity.
-
E.
independentFilm
Indicates that a film is produced outside the major studio system, typically with greater creative control and lower budgets.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d481a0988190a13d0928e0c7ebbf |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.