Triple
T7421738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Frauenfelder |
E171264
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Boing Boing (website) |
E29584
|
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: Boing Boing (website) | Statement: [Mark Frauenfelder, coFounded, Boing Boing (website)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boing Boing (website) Context triple: [Mark Frauenfelder, coFounded, Boing Boing (website)]
-
A.
Boing Boing
chosen
Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
-
B.
Kottke
Kottke is a surname most notably associated with individuals such as Daniel Kottke, an early Apple employee and friend of Steve Jobs.
-
C.
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.
-
D.
Adbusters
Adbusters is a Canadian anti-consumerist media foundation and magazine known for culture-jamming campaigns and sparking activist movements.
-
E.
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?.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8344541308190af8d90633cd92645 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:11 p.m.