Triple
T22021865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Queen |
E543864
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object | Mid Atlantic 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: Mid Atlantic Films | Statement: [The White Queen, producedBy, Mid Atlantic Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mid Atlantic Films Context triple: [The White Queen, producedBy, Mid Atlantic Films]
-
A.
Mid Atlantic Films
chosen
Mid Atlantic Films is a Hungary-based film and television production company known for providing production services for international projects, including major historical dramas.
-
B.
Main Street Films
Main Street Films is an independent film production company known for backing feature films such as the action-comedy "Barely Lethal."
-
C.
MadRiver Pictures
MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
-
D.
Intermedia Films
Intermedia Films is an independent film production company known for financing and producing a range of international feature films.
-
E.
Washington Square Films
Washington Square Films is an American independent film production company known for backing critically acclaimed, character-driven movies.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.