Triple
T11660342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy-Con |
E277102
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | amiibo |
E502258
|
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: amiibo | Statement: [Joy-Con, supports, amiibo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: amiibo Context triple: [Joy-Con, supports, amiibo]
-
A.
amiibo
chosen
Amiibo are Nintendo-produced interactive figurines and cards embedded with NFC technology that can connect with compatible games and systems to unlock in-game content and features.
-
B.
Mii
Mii is a customizable avatar character created by players on Nintendo consoles and used across various games as a personal in-game representation.
-
C.
Niibo
Niibo was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
-
D.
Miiverse
Miiverse was Nintendo’s now-discontinued, console-integrated social network that let players share messages, screenshots, and drawings related to their games.
-
E.
Wiig
Wiig is the surname of American actress, comedian, and writer Kristen Wiig, known for her work on Saturday Night Live and in films like Bridesmaids.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882148a08190a1a8c16d8cb7e48a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.