Triple
T1746428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowlets |
E38345
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Sukki |
E38860
|
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: Sukki | Statement: [Snowlets, member, Sukki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukki Context triple: [Snowlets, member, Sukki]
-
A.
Sukki
chosen
Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
B.
Ebisu
Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
-
C.
Kukulkan
Kukulkan is a major feathered serpent deity of the Maya, closely associated with wind, rain, and creation, and identified with the Aztec god Quetzalcoatl.
-
D.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
E.
Mukmuk
Mukmuk is a small, marmot-inspired sidekick character who served as an unofficial mascot and fan favorite of the 2010 Winter Olympics in Vancouver.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63eabdf48190878ecde3d1b1faf3 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c28ac881909ba2a7e5c2067127 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.