Triple
T20603340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juliet’s Balcony |
E506237
|
entity |
| Predicate | hasNotableSceneAssociation |
P128577
|
FINISHED |
| Object | balcony scene from Romeo and Juliet |
—
|
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: balcony scene from Romeo and Juliet | Statement: [Juliet’s Balcony, hasNotableSceneAssociation, balcony scene from Romeo and Juliet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSceneAssociation Context triple: [Juliet’s Balcony, hasNotableSceneAssociation, balcony scene from Romeo and Juliet]
-
A.
notableSceneAssociation
chosen
Indicates an association between an entity and a notable or memorable scene in which it prominently appears or plays a significant role.
-
B.
isAssociatedWithLabelScene
Indicates that an entity is connected to or involved with a particular labeled scene or scene annotation.
-
C.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
D.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
E.
notableLabelScene
Indicates that a particular scene is notably associated with, or prominently labeled by, a specific tag, title, or descriptor.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa22663881909a8d4644e1c48dc2 |
completed | April 20, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.