Triple
T2880967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Farewell to Arms |
E59394
|
entity |
| Predicate | censorshipReason |
P42543
|
FINISHED |
| Object | perceived as anti-war and critical of the Italian army |
—
|
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: perceived as anti-war and critical of the Italian army | Statement: [A Farewell to Arms, censorshipReason, perceived as anti-war and critical of the Italian army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipReason Context triple: [A Farewell to Arms, censorshipReason, perceived as anti-war and critical of the Italian army]
-
A.
canCensure
Indicates that one entity has the authority or power to formally reprimand, criticize, or express disapproval of another entity’s actions or behavior.
-
B.
censorshipYear
Indicates the year in which an act of censorship was imposed on the referenced content or entity.
-
C.
censorshipStatusAtTime
Indicates the censorship status of something at a specific point in time, capturing whether and how it was censored then.
-
D.
revisedVersionCensorshipStatus
Indicates the censorship or restriction status applied to a revised version of some original content.
-
E.
protectionReason
Indicates the justification or cause for which protection is provided or required in the relationship between entities.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0296be081908070bd48fe4fc926 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:03 p.m.