Triple
T36312743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | /ck/ |
E894104
|
entity |
| Predicate | associatedMemeCulture |
P162881
|
FINISHED |
| Object | 4chan culture |
—
|
LITERAL 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: 4chan culture | Statement: [/ck/, associatedMemeCulture, 4chan culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMemeCulture Context triple: [/ck/, associatedMemeCulture, 4chan culture]
-
A.
associatedMeme
Indicates that one entity is linked or connected to another entity in the context of a meme (e.g., as its related or corresponding meme).
-
B.
associatedCult
Indicates that an entity is connected or linked to a particular cult, typically through membership, affiliation, or influence.
-
C.
cultureRelatedTo
chosen
Indicates a relationship where one entity is connected, associated, or relevant to the culture, traditions, or cultural context of another entity.
-
D.
associatedBrandCulture
Indicates a relationship where a brand is linked to, reflects, or is characterized by a particular culture, set of values, or shared norms.
-
E.
hasNotableMeme
Indicates that an entity is associated with a widely recognized or culturally significant meme.
- F. None of above.
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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.