Triple
T23388943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trash Fire |
E593957
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Vertical Entertainment |
—
|
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: Vertical Entertainment | Statement: [Trash Fire, distributor, Vertical Entertainment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vertical Entertainment Context triple: [Trash Fire, distributor, Vertical Entertainment]
-
A.
Vertical Entertainment
chosen
Vertical Entertainment is an American film distribution company known for releasing independent and genre films, often through limited theatrical and video-on-demand platforms.
-
B.
Multimedia Entertainment
Multimedia Entertainment was an American television production and syndication company best known for producing popular talk shows and other syndicated programming in the late 20th century.
-
C.
Pan Entertainment
Pan Entertainment is a South Korean television production company known for creating popular K-dramas and variety programs.
-
D.
Electric Entertainment
Electric Entertainment is an independent film, television, and digital production company founded by Dean Devlin, known for producing genre and adventure series and movies.
-
E.
Films and Entertainment
Films and Entertainment is an award category recognizing outstanding science communication through movies, television, and other entertainment media.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a499bad88190afca1afb2e3fddb0 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.