Triple
T20140613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Days (2018 film) |
E491152
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | LD 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: LD Entertainment | Statement: [Dog Days (2018 film), productionCompany, LD Entertainment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LD Entertainment Context triple: [Dog Days (2018 film), productionCompany, LD Entertainment]
-
A.
LD Entertainment
chosen
LD Entertainment is an American film production company known for producing independent and mid-budget feature films across a range of genres.
-
B.
DF Entertainment
DF Entertainment is a production and entertainment company known for organizing and promoting live music events and large-scale shows.
-
C.
SC Entertainment
SC Entertainment is a film production company known for its involvement in genre cinema, including the 1985 fantasy film "Legend."
-
D.
MBK Entertainment
MBK Entertainment is a South Korean entertainment company and record label known for managing K-pop artists and producing music and media content.
-
E.
SM Entertainment
SM Entertainment is a major South Korean entertainment company known for producing and managing many of K-pop’s most influential artists and groups.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.