Triple
T20932445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Circle |
E515501
|
entity |
| Predicate | filmCensorshipContext |
P42543
|
FINISHED |
| Object | post-revolutionary Iranian cinema restrictions |
—
|
LITERAL 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: post-revolutionary Iranian cinema restrictions | Statement: [The Circle, filmCensorshipContext, post-revolutionary Iranian cinema restrictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCensorshipContext Context triple: [The Circle, filmCensorshipContext, post-revolutionary Iranian cinema restrictions]
-
A.
cultFilm
Indicates that a film has acquired a dedicated, passionate fan following, often despite limited mainstream success or initial popularity.
-
B.
countryOfCensorshipControversy
Indicates the country in which a particular censorship-related controversy or dispute took place.
-
C.
filmReleaseContext
Indicates the circumstances or setting (such as time, place, or format) under which a film is released.
-
D.
cinemaCategory
Indicates the classification or genre category assigned to a cinema or film.
-
E.
censorshipReason
chosen
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
- F. None of above.
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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.