Triple
T32900135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Psycho |
E841584
|
entity |
| Predicate | censorshipCountry |
P139795
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [American Psycho, censorshipCountry, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipCountry Context triple: [American Psycho, censorshipCountry, Australia]
-
A.
countryOfCensorshipControversy
chosen
Indicates the country in which a particular censorship-related controversy or dispute took place.
-
B.
censorshipLevel
Indicates the degree or strictness of control, suppression, or restriction applied to information, media, or expression.
-
C.
countryCensorshipImpact
Indicates how a country's censorship policies affect the availability, visibility, or dissemination of information, media, or communication.
-
D.
typeOfCensorship
Indicates the specific kind or method of censorship being applied in a given context.
-
E.
censorshipTarget
Indicates that an entity is the object or focus of censorship by another entity or authority.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.