Triple
T31418253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenny |
E801456
|
entity |
| Predicate | associatedWithTheatreScene |
—
|
GENERATED |
| Object | Off-Broadway |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTheatreScene Context triple: [Lenny, associatedWithTheatreScene, Off-Broadway]
-
A.
partOfTheatre
Indicates that one entity is a component, section, or subdivision of a theatre.
-
B.
belongsToTheatre
Indicates that something is a member, part, or property of a particular theatre or theatre organization.
-
C.
relatedToTheatre
chosen
Indicates a general association or connection with theatre, such as involvement, relevance, or contextual relation to theatrical arts or activities.
-
D.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
E.
sceneAssociation
Indicates a contextual or thematic relationship linking entities that co-occur or interact within the same scene.
- F. None of above.
Provenance (1 batch)
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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 8:45 p.m.