Triple
T11572597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candyland plantation |
E274426
|
entity |
| Predicate | climacticSettingFor |
P81796
|
FINISHED |
| Object | final confrontation in Django Unchained |
—
|
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: final confrontation in Django Unchained | Statement: [Candyland plantation, climacticSettingFor, final confrontation in Django Unchained]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climacticSettingFor Context triple: [Candyland plantation, climacticSettingFor, final confrontation in Django Unchained]
-
A.
climaxLocation
chosen
Indicates the place or setting where the most intense or pivotal moment of an event, narrative, or process occurs.
-
B.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
C.
typeOfClimax
Indicates the specific kind or category of climax that characterizes an event, narrative, or process.
-
D.
climaticChallenge
Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
-
E.
hasClimaxAt
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.