Triple
T4263426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Dropped In (To See What Condition My Condition Was In) |
E96158
|
entity |
| Predicate | usedInSceneType |
P18110
|
FINISHED |
| Object | dream sequence in The Big Lebowski |
—
|
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: dream sequence in The Big Lebowski | Statement: [Just Dropped In (To See What Condition My Condition Was In), usedInSceneType, dream sequence in The Big Lebowski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInSceneType Context triple: [Just Dropped In (To See What Condition My Condition Was In), usedInSceneType, dream sequence in The Big Lebowski]
-
A.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
B.
usedInType
chosen
Indicates that something serves as a component, element, or example within a particular type or category.
-
C.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
D.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
E.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fc821ec8190a7204aaf89d24a6b |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.