Triple
T31502480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patriarch Ponds |
E803723
|
entity |
| Predicate | isSettingOfScene |
P171710
|
FINISHED |
| Object | opening scene of The Master and Margarita |
—
|
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: opening scene of The Master and Margarita | Statement: [Patriarch Ponds, isSettingOfScene, opening scene of The Master and Margarita]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSettingOfScene Context triple: [Patriarch Ponds, isSettingOfScene, opening scene of The Master and Margarita]
-
A.
isPivotalSceneFor
Indicates that a particular scene plays a crucial or decisive role in the development or outcome of another entity, such as a story, event, or narrative arc.
-
B.
isAssociatedWithLabelScene
Indicates that an entity is connected to or involved with a particular labeled scene or scene annotation.
-
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.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
- F. None of above. chosen
Provenance (4 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a213bb9c8190ac95e0d8f19bade5 |
completed | May 3, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 30, 2026, 9:45 p.m.