Triple
T9293216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viridiana |
E223571
|
entity |
| Predicate | censorshipStatusInSpain |
P40618
|
FINISHED |
| Object | banned after initial release |
—
|
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: banned after initial release | Statement: [Viridiana, censorshipStatusInSpain, banned after initial release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipStatusInSpain Context triple: [Viridiana, censorshipStatusInSpain, banned after initial release]
-
A.
statusInSpain
Indicates the legal, social, or official condition or standing that an entity has within the jurisdiction of Spain.
-
B.
censorshipLevel
Indicates the degree or strictness of control, suppression, or restriction applied to information, media, or expression.
-
C.
censorshipStatusAtTime
chosen
Indicates the censorship status of something at a specific point in time, capturing whether and how it was censored then.
-
D.
censorshipReason
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
-
E.
censorshipAuthority
Indicates that one entity has the official power or responsibility to censor, restrict, or approve the information, media, or expression of another entity.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0898b3288190a627a58bfd9c57fe |
completed | April 1, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.