Triple
T16611774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shazbot |
E403588
|
entity |
| Predicate | censorshipRole |
P123536
|
FINISHED |
| Object | euphemistic substitute for stronger profanity |
—
|
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: euphemistic substitute for stronger profanity | Statement: [Shazbot, censorshipRole, euphemistic substitute for stronger profanity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipRole Context triple: [Shazbot, censorshipRole, euphemistic substitute for stronger profanity]
-
A.
censorshipAuthority
Indicates that one entity has the official power or responsibility to censor, restrict, or approve the information, media, or expression of another entity.
-
B.
censorshipLevel
Indicates the degree or strictness of control, suppression, or restriction applied to information, media, or expression.
-
C.
censorshipStatusChange
Indicates a change in an entity’s censorship state, such as being newly censored, uncensored, or having its censorship level modified.
-
D.
censorshipReason
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
-
E.
coCensorWith
Indicates that two or more entities participate together in the act of censoring the same content or subject.
- F. None of above. chosen
Provenance (4 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.