Triple
T23425418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Can Has Cheezburger? |
E560779
|
entity |
| Predicate | hasSpinOff |
P7226
|
FINISHED |
| Object | Know Your Meme |
—
|
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: Know Your Meme | Statement: [I Can Has Cheezburger?, hasSpinOff, Know Your Meme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Know Your Meme Context triple: [I Can Has Cheezburger?, hasSpinOff, Know Your Meme]
-
A.
Know Your Meme
chosen
Know Your Meme is an online database and research site that documents, explains, and archives internet memes and viral phenomena.
-
B.
Memebase
Memebase is a humor website and meme hub featuring user-submitted and curated internet memes, image macros, and viral content.
-
C.
Meme
Meme is the affectionate nickname of the fictional character Renata Remedios from Gabriel García Márquez’s novel "One Hundred Years of Solitude."
-
D.
Meme Wars
Meme Wars is a book that critiques mainstream neoclassical economics and explores alternative economic paradigms through essays, graphics, and visual storytelling.
-
E.
Memel
Memel is the former German name for the Baltic port city now known as Klaipėda in Lithuania.
- 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.