Triple
T6730559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Evil |
E153622
|
entity |
| Predicate | comedicDynamic |
P45834
|
FINISHED |
| Object | represents a realistic perspective on villain tropes |
—
|
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: represents a realistic perspective on villain tropes | Statement: [Scott Evil, comedicDynamic, represents a realistic perspective on villain tropes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comedicDynamic Context triple: [Scott Evil, comedicDynamic, represents a realistic perspective on villain tropes]
-
A.
hasComedyElements
chosen
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
B.
dramaticFunction
Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
-
C.
isHumorousCharacter
Indicates that the character is portrayed in a humorous way or primarily serves a comedic role in the context.
-
D.
dramaticCharacter
Indicates that one entity is a character or role that appears within the dramatic work, performance, or narrative represented by the other entity.
-
E.
humorSetting
Indicates a relationship where one entity specifies or controls the level, style, or presence of humor applied to another entity or 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:09 p.m.