Triple
T15412708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waluigi |
E368633
|
entity |
| Predicate | oftenAppearsIn |
P795
|
FINISHED |
| Object | Mario Tennis series |
E167605
|
NE 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: Mario Tennis series | Statement: [Waluigi, oftenAppearsIn, Mario Tennis series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Tennis series Context triple: [Waluigi, oftenAppearsIn, Mario Tennis series]
-
A.
Mario Tennis
chosen
Mario Tennis is a sports video game series by Nintendo that features Mario and other characters from the Mario franchise competing in arcade-style tennis matches.
-
B.
Mario Golf
Mario Golf is a sports video game series that combines golf gameplay with characters and elements from Nintendo’s Mario franchise.
-
C.
Sony Open Tennis
Sony Open Tennis was the former name of the prestigious annual professional tennis tournament held in Miami, Florida, that attracts top ATP and WTA players.
-
D.
Virtua Tennis
Virtua Tennis is a popular arcade-style tennis video game series known for its fast-paced gameplay and accessible controls.
-
E.
Wii Sports
Wii Sports is a motion-controlled sports video game compilation for the Nintendo Wii that became a cultural phenomenon and one of the best-selling games of all time.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea600b48190a3dbca1a68a2a1cd |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf0e90c8190a339e6fca53a02d8 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:20 a.m.