Triple
T23425356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheezburger Network |
E560778
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | I Can Has Cheezburger? |
—
|
NE NERFINISHED |
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: I Can Has Cheezburger? | Statement: [Cheezburger Network, owns, I Can Has Cheezburger?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Can Has Cheezburger? Context triple: [Cheezburger Network, owns, I Can Has Cheezburger?]
-
A.
I Can Has Cheezburger?
chosen
I Can Has Cheezburger? is a pioneering humor website and meme hub best known for popularizing LOLcats—images of cats with humorous, intentionally misspelled captions.
-
B.
Cheezburger Network
Cheezburger Network is a humor and entertainment website network best known for hosting viral meme and image macro sites like I Can Has Cheezburger?.
-
C.
Cheeze
Cheeze is a rapper affiliated with French Montana’s Coke Boys collective and its label, Coke Boys Records.
-
D.
Memebase
Memebase is a humor website and meme hub featuring user-submitted and curated internet memes, image macros, and viral content.
-
E.
Between Two Ferns
Between Two Ferns is a satirical online talk show hosted by Zach Galifianakis, known for its awkward, deadpan celebrity interviews and low-budget, mock-public-access style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54951688190a3c5382971af3e41 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.