Triple
T23226729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stooge |
E581034
|
entity |
| Predicate | hasNotableSceneType |
P3574
|
FINISHED |
| Object | on-stage vaudeville performances |
—
|
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: on-stage vaudeville performances | Statement: [The Stooge, hasNotableSceneType, on-stage vaudeville performances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSceneType Context triple: [The Stooge, hasNotableSceneType, on-stage vaudeville performances]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
hasNotableSegment
chosen
Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
-
C.
containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
-
D.
hasNotableShow
Indicates that an entity is associated with a particular show that is considered notable or significant.
-
E.
notableSceneAssociation
Indicates an association between an entity and a notable or memorable scene in which it prominently appears or plays a significant role.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922f5b4081908145d66ea7534493 |
completed | April 29, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.