Triple
T7187762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Mario |
E167612
|
entity |
| Predicate | hasVirusColor |
P22465
|
FINISHED |
| Object | red virus |
—
|
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: red virus | Statement: [Dr. Mario, hasVirusColor, red virus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVirusColor Context triple: [Dr. Mario, hasVirusColor, red virus]
-
A.
hasColoration
chosen
Indicates that an entity possesses a particular color or pattern of colors.
-
B.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
C.
hasColorExcess
Indicates that an entity exhibits a measured amount of color excess, typically representing the difference between its observed color and its intrinsic or expected color.
-
D.
hasColorProcess
Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its color.
-
E.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e2506881909fc4e81b9b79e873 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.