Triple
T20436327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You |
E501258
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Champagne Problems |
—
|
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: Champagne Problems | Statement: [Thank You, hasTrack, Champagne Problems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champagne Problems Context triple: [Thank You, hasTrack, Champagne Problems]
-
A.
Champagne Problems
"Champagne Problems" is a reflective pop song by the South Korean rock band Smile, noted for its emotive lyrics and melodic arrangement.
-
B.
Champagne Problems
chosen
"Champagne Problems" is a melancholic piano-driven song by Taylor Swift that tells the story of a rejected marriage proposal and the emotional fallout that follows.
-
C.
Champagne
Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
-
D.
Champagne
"Champagne" is a track by the musical group Duotones, likely featuring their characteristic style and sound.
-
E.
Champagne Papi
Champagne Papi is the widely recognized social media handle and nickname of Canadian rapper, singer, and songwriter Drake.
- 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.