Triple
T1460156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario |
E31492
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Donkey Kong |
E75272
|
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: Donkey Kong | Statement: [Mario, enemy, Donkey Kong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donkey Kong Context triple: [Mario, enemy, Donkey Kong]
-
A.
Donkey Kong
chosen
Donkey Kong is a powerful, gorilla-like video game character from Nintendo’s Donkey Kong and Mario franchises, known for his strength, barrel-throwing antics, and role as both rival and ally to Mario.
-
B.
Mario Bros.
Mario Bros. is a classic 1983 arcade platform game by Nintendo featuring Mario and Luigi battling creatures in underground sewers.
-
C.
Yoshi’s Adventure
Yoshi’s Adventure is a family-friendly dark ride in Super Nintendo World at Universal Studios Japan that takes guests on a scenic journey atop Yoshi through colorful Mushroom Kingdom environments.
-
D.
Cranky Kong
Cranky Kong is an elderly, grouchy member of the Kong family in the Donkey Kong series, often portrayed as a wise but sarcastic mentor figure.
-
E.
Dr. Mario
Dr. Mario is a puzzle video game series by Nintendo in which Mario appears as a doctor who eliminates viruses by matching color-coded capsules.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59d6dd88190b8ff3bda90aef7e2 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a299ac81908f37085a107c8e9f |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8 p.m.