Triple
T4223992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Cumson |
E94409
|
entity |
| Predicate | hasDramaticFunction |
P20800
|
FINISHED |
| Object | drives major plot twists |
—
|
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: drives major plot twists | Statement: [Julia Cumson, hasDramaticFunction, drives major plot twists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDramaticFunction Context triple: [Julia Cumson, hasDramaticFunction, drives major plot twists]
-
A.
dramaticFunction
chosen
Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
-
B.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
-
C.
hasDramaticTone
Indicates that something (such as a work, scene, or expression) is characterized by a heightened, intense, or emotionally charged tone.
-
D.
dramaticRole
Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical work.
-
E.
hasStrategicFunction
Indicates that an entity serves a planned, goal-oriented role or purpose within a broader strategy or system.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.