Triple
T22802349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Naked Prey |
E564430
|
entity |
| Predicate | containsOnScreenViolence |
P107612
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Naked Prey, containsOnScreenViolence, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsOnScreenViolence Context triple: [The Naked Prey, containsOnScreenViolence, true]
-
A.
containsViolence
chosen
Indicates that the subject includes, depicts, or involves acts of physical harm, aggression, or violent behavior.
-
B.
containsGraphicViolence
Indicates that the subject includes depictions of explicit, intense, or realistic physical harm or brutality.
-
C.
viewOnViolence
Indicates an entity’s stance, opinion, or attitude toward the use of violence.
-
D.
typeOfViolenceAddressed
Indicates the specific form or category of violence that is being targeted, dealt with, or addressed in a given context.
-
E.
hasTypeOfViolence
Indicates that an entity involves, exhibits, or is characterized by a specific kind or category of violent behavior or action.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.