Triple
T21536780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decoding Annie Parker |
E531368
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | eOne 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: eOne Films | Statement: [Decoding Annie Parker, distributor, eOne Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eOne Films Context triple: [Decoding Annie Parker, distributor, eOne Films]
-
A.
eOne Films
chosen
eOne Films is the film distribution and production arm of Entertainment One, handling the acquisition, marketing, and release of movies in various international markets.
-
B.
Echo Films
Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
-
C.
Edko Films
Edko Films is a prominent Hong Kong-based film production and distribution company known for backing acclaimed Chinese-language cinema.
-
D.
Overture Films
Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
-
E.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.