Triple
T35186591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snoopy's doghouse |
E1016000
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Peanuts element |
C62592
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Peanuts element Context triple: [Snoopy's doghouse, instanceOf, Peanuts element]
-
A.
Peanuts film
A Peanuts film is a motion picture adaptation featuring Charles M. Schulz’s Peanuts characters, typically focusing on the gentle humor, emotional growth, and everyday adventures of Charlie Brown, Snoopy, and their friends.
-
B.
Peanuts television special
A Peanuts television special is a standalone, typically animated TV program featuring Charles M. Schulz’s Peanuts characters in a self-contained story, often themed around holidays or life lessons.
-
C.
Peanuts-themed attraction
A Peanuts-themed attraction is an entertainment venue or experience designed around the characters, settings, and stories of Charles M. Schulz’s Peanuts comic strip, offering immersive, family-friendly activities and environments.
-
D.
Peanuts character
A Peanuts character is a fictional person or animal from Charles M. Schulz’s comic strip "Peanuts," defined by a distinctive personality, simple visual design, and participation in the strip’s everyday, often philosophical, slice-of-life stories.
-
E.
peanut butter brand
A peanut butter brand is a distinct commercial label under which peanut-based spread products are marketed, differentiated by recipe, quality, positioning, and packaging.
- F. None of above. chosen
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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.