Triple
T10621281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel |
E250209
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | How Many Drinks? |
E49775
|
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: How Many Drinks? | Statement: [Miguel, notableSong, How Many Drinks?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Many Drinks? Context triple: [Miguel, notableSong, How Many Drinks?]
-
A.
How Many Drinks?
chosen
"How Many Drinks?" is an R&B song by American singer Miguel, known for its smooth vocals and lyrics about seduction and nightlife, released from his 2012 album *Kaleidoscope Dream*.
-
B.
Five Drinks Ago
Five Drinks Ago is a song featured on the album "Heartland."
-
C.
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.
-
D.
One More Drink
"One More Drink" is a comedic hip hop track by the duo The Lonely Island, known for its humorous storytelling and collaboration with rapper T-Pain.
-
E.
Drink on It
"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.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:50 p.m.