Triple
T22596024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky (2017 film) |
E574682
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Magnolia Pictures |
—
|
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: Magnolia Pictures | Statement: [Lucky (2017 film), distributor, Magnolia Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnolia Pictures Context triple: [Lucky (2017 film), distributor, Magnolia Pictures]
-
A.
Magnolia Pictures
chosen
Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign films.
-
B.
Gramercy Pictures
Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
-
C.
Sycamore Pictures
Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
-
D.
Benaroya Pictures
Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
-
E.
Quadrant Pictures
Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.