Triple
T12004281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Spend the Night Together |
E285740
|
entity |
| Predicate | censorshipEvent |
P102619
|
FINISHED |
| Object | lyrics altered on The Ed Sullivan Show |
—
|
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: lyrics altered on The Ed Sullivan Show | Statement: [Let's Spend the Night Together, censorshipEvent, lyrics altered on The Ed Sullivan Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipEvent Context triple: [Let's Spend the Night Together, censorshipEvent, lyrics altered on The Ed Sullivan Show]
-
A.
censorshipReason
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
-
B.
censorshipIssues
Indicates that one entity imposes restrictions, suppression, or control over the information, expression, or content associated with another entity.
-
C.
censorshipAuthority
Indicates that one entity has the official power or responsibility to censor, restrict, or approve the information, media, or expression of another entity.
-
D.
censorshipStatusChange
Indicates a change in an entity’s censorship state, such as being newly censored, uncensored, or having its censorship level modified.
-
E.
censorshipLevel
Indicates the degree or strictness of control, suppression, or restriction applied to information, media, or expression.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c481a48190b311d6809808ef1b |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d9038e39f881908c58c19802ba2eb0 |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.