Triple
T23425429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Can Has Cheezburger? |
E560779
|
entity |
| Predicate | typicalCaptionStyle |
P152231
|
FINISHED |
| Object | intentionally misspelled English |
—
|
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: intentionally misspelled English | Statement: [I Can Has Cheezburger?, typicalCaptionStyle, intentionally misspelled English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCaptionStyle Context triple: [I Can Has Cheezburger?, typicalCaptionStyle, intentionally misspelled English]
-
A.
typicalContentStyle
Indicates the usual or characteristic manner, format, or stylistic approach in which content associated with an entity is presented.
-
B.
caption
Indicates that a piece of text serves as a descriptive label or explanation for an associated image, video, or other media content.
-
C.
typicalCaseCaptionFormat
Indicates the standard or commonly used way of formatting the caption (title block) of a legal case or similar proceeding.
-
D.
typicalVisualStyle
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
-
E.
titleStylization
Indicates how the written form of a title is stylistically presented, such as through capitalization, spacing, punctuation, or special formatting.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:47 p.m.