Triple
T16003332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&M |
E388147
|
entity |
| Predicate | censoredTitleUsedIn |
P70524
|
FINISHED |
| Object | some radio edits and video versions |
—
|
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: some radio edits and video versions | Statement: [S&M, censoredTitleUsedIn, some radio edits and video versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censoredTitleUsedIn Context triple: [S&M, censoredTitleUsedIn, some radio edits and video versions]
-
A.
hasCensoredTitleVersion
Indicates that an entity has an alternative version of its title in which certain content has been censored, removed, or altered.
-
B.
hasCensoredTitleVariant
chosen
Indicates that an entity has an alternative version of its title that has been modified or censored, typically to remove or obscure sensitive or inappropriate content.
-
C.
censoredEpisodesInvolve
Indicates that the episodes which were censored contain or feature the specified content or elements.
-
D.
wasCensored
Indicates that an entity’s content, expression, or communication was suppressed, altered, or restricted by an authority or controlling party.
-
E.
hasUncensoredTitleVersion
Indicates that an entity has an alternative version of its title that is not censored or edited for sensitive content.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.