Triple
T22663804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma (2019 film) |
E559729
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Wyolah 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: Wyolah Films | Statement: [Ma (2019 film), productionCompany, Wyolah Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyolah Films Context triple: [Ma (2019 film), productionCompany, Wyolah Films]
-
A.
Wyolah Films
chosen
Wyolah Films is a film and television production company founded by director Tate Taylor, known for developing and producing feature films and series.
-
B.
Waverly Films
Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
-
C.
JWH Films
JWH Films is a British film production company known for backing independent, auteur-driven projects such as Joanna Hogg’s "The Souvenir Part II."
-
D.
Cineyug Films
Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
-
E.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.