Triple
T1738308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokki |
E37969
|
entity |
| Predicate | groupName |
P744
|
FINISHED |
| Object | The Snowlets |
E38345
|
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: The Snowlets | Statement: [Nokki, groupName, The Snowlets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Snowlets Context triple: [Nokki, groupName, The Snowlets]
-
A.
Snowlets
chosen
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
-
B.
Purple Snowflakes
"Purple Snowflakes" is a soulful Christmas song best known for its dreamy, romantic imagery and smooth, Motown-influenced sound.
-
C.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
D.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
-
E.
White as Snow
"White as Snow" is a reflective, spiritually themed song by the Irish rock band U2 from their album "No Line on the Horizon."
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c35aec8190b5c19ace5524173f |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d999148190a889f761af05f431 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.