Triple
T5997147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Huh |
E133498
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Cheezburger Network |
E560778
|
NE 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: Cheezburger Network | Statement: [Ben Huh, founded, Cheezburger Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheezburger Network Context triple: [Ben Huh, founded, Cheezburger Network]
-
A.
Cheezburger Network
chosen
Cheezburger Network is a humor and entertainment website network best known for hosting viral meme and image macro sites like I Can Has Cheezburger?.
-
B.
Gawker Media
Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
-
C.
I Can Has Cheezburger?
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.
-
D.
The Onion
The Onion is a distinctive, modernist London building known for its layered, bulb-like architectural design that resembles the shape of an onion.
-
E.
Funny or Die
Funny or Die is a comedy video website and production company known for its celebrity-driven sketches and viral online content.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee274e08190b6478c7ae318ae48 |
completed | March 22, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cdec5608190ad093a09acd32ebf |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:05 p.m.