Triple
T19880122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 5th Wave |
E477746
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | GK Films |
—
|
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: GK Films | Statement: [The 5th Wave, productionCompany, GK Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GK Films Context triple: [The 5th Wave, productionCompany, GK Films]
-
A.
GK Films
chosen
GK Films is a British-American production company founded by producer Graham King, known for backing acclaimed films such as Argo, The Departed, and Bohemian Rhapsody.
-
B.
GK Productions
GK Productions is a television production company best known for its work on the fantasy drama series "Grimm."
-
C.
Bidangil Pictures
Bidangil Pictures is a South Korean film production company known for producing the sci-fi space adventure movie "Space Sweepers."
-
D.
R. K. Films
R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
-
E.
Aries Films
Aries Films is a film distribution company known for handling the release of independent and art-house movies such as "Bad Lieutenant."
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658de4b288190a41bee67f570be1e |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.