Triple
T22659284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Meritorious Price of Our Redemption |
E559617
|
entity |
| Predicate | censorshipAction |
P142663
|
FINISHED |
| Object | publicly burned in Boston |
—
|
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: publicly burned in Boston | Statement: [The Meritorious Price of Our Redemption, censorshipAction, publicly burned in Boston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipAction Context triple: [The Meritorious Price of Our Redemption, censorshipAction, publicly burned in Boston]
-
A.
censorshipTarget
Indicates that an entity is the object or focus of censorship by another entity or authority.
-
B.
censorshipEvent
Indicates an event in which information, expression, or communication is suppressed, restricted, or altered by some controlling authority or mechanism.
-
C.
censorshipReason
Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
-
D.
censorshipStatusChange
Indicates a change in an entity’s censorship state, such as being newly censored, uncensored, or having its censorship level modified.
-
E.
typeOfCensorship
chosen
Indicates the specific kind or method of censorship being applied in a given context.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765dc9088190b022ac564a8b5c26 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.