Triple
T14009790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Student Prince |
E337047
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Drink! Drink! Drink!
"Drink! Drink! Drink!" is a popular drinking song from the operetta *The Student Prince*, known for its rousing melody and celebratory lyrics.
|
E1073852
|
NE FINISHED |
How this triple was built (4 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! Drink! Drink! | Statement: [The Student Prince, notableSong, Drink! Drink! Drink!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drink! Drink! Drink! Context triple: [The Student Prince, notableSong, Drink! Drink! Drink!]
-
A.
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.
-
B.
Drinklange
Drinklange is a small locality within the commune of Troisvierges in northern Luxembourg.
-
C.
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.
-
D.
Five Drinks Ago
Five Drinks Ago is a song featured on the album "Heartland."
-
E.
Voy a Beber
"Voy a Beber" is a popular reggaeton song by Nicky Jam known for its catchy melody and party-themed lyrics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Drink! Drink! Drink! Triple: [The Student Prince, notableSong, Drink! Drink! Drink!]
Generated description
"Drink! Drink! Drink!" is a popular drinking song from the operetta *The Student Prince*, known for its rousing melody and celebratory lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drink! Drink! Drink! Target entity description: "Drink! Drink! Drink!" is a popular drinking song from the operetta *The Student Prince*, known for its rousing melody and celebratory lyrics.
-
A.
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.
-
B.
Drinklange
Drinklange is a small locality within the commune of Troisvierges in northern Luxembourg.
-
C.
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.
-
D.
Five Drinks Ago
Five Drinks Ago is a song featured on the album "Heartland."
-
E.
Voy a Beber
"Voy a Beber" is a popular reggaeton song by Nicky Jam known for its catchy melody and party-themed lyrics.
- F. None of above. chosen
Provenance (5 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbaca7bbd88190a377d3b74f3d6224 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae6691b48190a0affc662cbb2d4e |
completed | May 6, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf702c94819095347e2599ae9931 |
completed | May 6, 2026, 9:15 p.m. |
Created at: April 9, 2026, 10:19 p.m.