Triple
T17905956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ms. Bellum |
E447699
|
entity |
| Predicate | visualDesignGag |
P129244
|
FINISHED |
| Object | face rarely shown as running joke |
—
|
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: face rarely shown as running joke | Statement: [Ms. Bellum, visualDesignGag, face rarely shown as running joke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualDesignGag Context triple: [Ms. Bellum, visualDesignGag, face rarely shown as running joke]
-
A.
evokesImageOf
Indicates that one entity triggers or brings to mind a mental image or visual representation of another entity.
-
B.
videoDesigner
Indicates a relationship where one entity is responsible for designing or creating the visual and structural elements of a video for another entity or project.
-
C.
visualDesignInspiredBy
Indicates that the visual design of one entity is influenced, modeled, or derived from the visual style or appearance of another entity.
-
D.
graphics
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
-
E.
featuresMeme
Indicates that something includes, presents, or prominently displays a particular meme.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9c7f54819088c6d2ce7bbea073 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.