Triple
T35998265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "diabeetus" meme |
E1041052
|
entity |
| Predicate | featuresPhrase |
P132994
|
FINISHED |
| Object | "diabeetus" |
—
|
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: "diabeetus" | Statement: ["diabeetus" meme, featuresPhrase, "diabeetus"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPhrase Context triple: ["diabeetus" meme, featuresPhrase, "diabeetus"]
-
A.
featuresCatchphrase
Indicates that an entity prominently includes or is associated with a particular catchphrase.
-
B.
typicalPhrase
chosen
Indicates that the object is a phrase commonly or characteristically used in connection with the subject.
-
C.
symbolicPhrase
Indicates a relationship where one entity is represented or expressed by a symbolic phrase associated with another entity.
-
D.
mainPhrase
Indicates that the referenced phrase functions as the primary or central phrase within a larger linguistic or structural unit.
-
E.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.