Triple
T7187765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Mario |
E167612
|
entity |
| Predicate | supportsMultiplayerType |
P43216
|
FINISHED |
| Object | versus mode |
—
|
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: versus mode | Statement: [Dr. Mario, supportsMultiplayerType, versus mode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultiplayerType Context triple: [Dr. Mario, supportsMultiplayerType, versus mode]
-
A.
supportsOnlineMultiplayer
Indicates that the subject provides functionality for multiple users to play together over an online network.
-
B.
hasMultiplayer
chosen
Indicates that an entity (such as a game or application) supports a mode where multiple users can participate or interact simultaneously.
-
C.
supportsLocalMultiplayer
Indicates that the subject provides functionality for multiple players to play together on the same device or local network.
-
D.
multiplayerFeature
Indicates that the subject supports or involves multiple users participating together, typically at the same time within the same activity or environment.
-
E.
supportsCrossPlay
Indicates that one platform, system, or service allows users on different platforms to interact or play together across those platforms.
- 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.