Triple
T21405950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drink on It |
E528032
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Drink on It |
—
|
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: Drink on It | Statement: [Drink on It, hasTitle, Drink on It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drink on It Context triple: [Drink on It, hasTitle, Drink on It]
-
A.
Drink on It
chosen
"Drink on It" is a country song by American singer Blake Shelton, featured on his 2011 album "Red River Blue" and released as a successful single.
-
B.
Drinkin’ Thing
"Drinkin’ Thing" is a country song best known for its 1974 hit recording by Gary Stewart, exemplifying the honky-tonk style and themes of heartache and alcohol-fueled coping.
-
C.
Be Drunk
"Be Drunk" is a prose poem by Charles Baudelaire urging readers to stay metaphorically intoxicated—on wine, poetry, or virtue—in order to escape the burdens of time and existence.
-
D.
Let’s Have a Drink on It
"Let’s Have a Drink on It" is a musical number from Disney’s 1967 film *The Happiest Millionaire*, reflecting the movie’s lighthearted, song-filled portrayal of early 20th-century American life.
-
E.
Last Drink
"Last Drink" is a song by the artist No Said Date.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62d01634819089dd64fe7bc5ccbd |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:31 p.m.