Triple
T20140281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Champions |
E491144
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | STXfilms |
—
|
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: STXfilms | Statement: [National Champions, distributor, STXfilms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STXfilms Context triple: [National Champions, distributor, STXfilms]
-
A.
STXfilms
chosen
STXfilms is an American film production and distribution company known for mid-budget, star-driven movies across genres.
-
B.
Colossal Pictures
Colossal Pictures was an innovative San Francisco–based animation and design studio best known for its experimental work in television, advertising, and music videos during the 1980s and early 1990s.
-
C.
ThinkFilm
ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
-
D.
Vistar Films
Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
-
E.
Silverback Films
Silverback Films is a British production company renowned for creating high-end nature and wildlife documentaries, including major series for Netflix and the BBC.
- 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_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.