Triple
T20436422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Very Trainor Christmas |
E501260
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Winter Wonderland |
—
|
NE NERFINISHED |
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: Winter Wonderland | Statement: [A Very Trainor Christmas, hasTrack, Winter Wonderland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winter Wonderland Context triple: [A Very Trainor Christmas, hasTrack, Winter Wonderland]
-
A.
Winter Wonderland
chosen
"Winter Wonderland" is a classic Christmas song frequently covered by artists and featured on holiday albums.
-
B.
Winter Loversland
Winter Loversland is a Christmas-themed studio album by American R&B singer Tamar Braxton, featuring contemporary renditions of holiday classics and original festive songs.
-
C.
Snow Wonder
Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
-
D.
Snowfest
Snowfest is an annual winter festival in Frankenmuth, Michigan, best known for its large-scale snow and ice sculpting competitions and family-friendly seasonal activities.
-
E.
Winter Magic
Winter Magic was the themed halftime show for Super Bowl XXVI, featuring a large-scale, family-friendly spectacle with music, dance, and winter-inspired pageantry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.