Triple
T5142384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Room |
E115986
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Filmscience |
E115986
|
NE FINISHED |
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: Filmscience | Statement: [Green Room, producer, Filmscience]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filmscience Context triple: [Green Room, producer, Filmscience]
-
A.
Filmscience
chosen
Filmscience is an independent film production company known for backing distinctive, often genre-bending projects such as the thriller "Green Room."
-
B.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
C.
The Film Sense
The Film Sense is a seminal theoretical work by Soviet filmmaker Sergei Eisenstein that explores the principles of film montage and cinematic expression.
-
D.
Celluloid
Celluloid is a lightweight, open-source media player for Linux that provides a simple GTK-based interface for the MPV playback engine.
-
E.
FilmScene cinema
FilmScene cinema is an independent, nonprofit movie theater and film arts organization known for showcasing arthouse, foreign, and documentary films in Iowa City, Iowa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787ff1c081909a6954aa76e12cbf |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfe7370c8190a47070487b461114 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.