Triple
T7858066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Chat |
E182425
|
entity |
| Predicate | hasVisualMetaphor |
P5465
|
FINISHED |
| Object | comic strip layout |
—
|
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: comic strip layout | Statement: [Microsoft Chat, hasVisualMetaphor, comic strip layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualMetaphor Context triple: [Microsoft Chat, hasVisualMetaphor, comic strip layout]
-
A.
visualizedIn
Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
-
B.
primaryMetaphor
Indicates a fundamental conceptual mapping where one domain (often concrete or physical) is systematically understood in terms of another (often abstract), forming a basic metaphorical relationship between them.
-
C.
containsVisionOf
chosen
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
D.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
E.
titleMetaphor
Indicates that the title of a work functions metaphorically, expressing a figurative or symbolic meaning rather than a literal one.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a76f8648190976b488d0d8658ef |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:52 p.m.