Triple
T37709937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Buttons Show |
E939303
|
entity |
| Predicate | notableSketchType |
P49092
|
FINISHED |
| Object | Comedy sketches |
—
|
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: Comedy sketches | Statement: [The Red Buttons Show, notableSketchType, Comedy sketches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSketchType Context triple: [The Red Buttons Show, notableSketchType, Comedy sketches]
-
A.
sketchType
chosen
Indicates the specific kind or category of sketch associated with an entity or action.
-
B.
hasNotableSketch
Indicates that an entity is associated with a sketch that is considered notable or significant in some context.
-
C.
notableTypeOf
Indicates that one entity is a particularly prominent, well-known, or exemplary instance or subtype of another entity.
-
D.
notableSkullDesignation
Indicates that an entity has been assigned a specific, recognized designation or label for a notable skull.
-
E.
drawType
Indicates the method or style by which something is drawn, rendered, or visually represented.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.