Triple
T5161575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Vincent |
E116448
|
entity |
| Predicate | debutAlbum |
P3278
|
FINISHED |
| Object |
Marry Me
Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
|
E499030
|
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: Marry Me | Statement: [St. Vincent, debutAlbum, Marry Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marry Me Context triple: [St. Vincent, debutAlbum, Marry Me]
-
A.
Marry You
"Marry You" is a song featured on the collaborative blues album "Riding with the King" by B.B. King and Eric Clapton.
-
B.
Marry You
"Marry You" is a catchy pop song by Bruno Mars known for its upbeat, romantic theme about impulsively getting married.
-
C.
I Wanna Marry You
"I Wanna Marry You" is a song featured on Bruce Springsteen's 1980 album *The River*, known for its romantic themes and soulful, mid-tempo sound.
-
D.
When I Said I Do
"When I Said I Do" is a popular country duet by Clint Black and his wife Lisa Hartman Black, celebrated as a heartfelt wedding and anniversary song.
-
E.
Isn't It Romantic
"Isn't It Romantic" is a comedic stage play by Wendy Wasserstein that explores the lives, careers, and relationships of two young women navigating contemporary urban life.
- 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: Marry Me Triple: [St. Vincent, debutAlbum, Marry Me]
Generated description
Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marry Me Target entity description: Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
-
A.
Marry You
"Marry You" is a song featured on the collaborative blues album "Riding with the King" by B.B. King and Eric Clapton.
-
B.
Marry You
"Marry You" is a catchy pop song by Bruno Mars known for its upbeat, romantic theme about impulsively getting married.
-
C.
I Wanna Marry You
"I Wanna Marry You" is a song featured on Bruce Springsteen's 1980 album *The River*, known for its romantic themes and soulful, mid-tempo sound.
-
D.
When I Said I Do
"When I Said I Do" is a popular country duet by Clint Black and his wife Lisa Hartman Black, celebrated as a heartfelt wedding and anniversary song.
-
E.
Isn't It Romantic
"Isn't It Romantic" is a comedic stage play by Wendy Wasserstein that explores the lives, careers, and relationships of two young women navigating contemporary urban life.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92eaed88190bfea287da442d376 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69bed98c9acc8190a55ad027e659f8c2 |
completed | March 21, 2026, 5:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed9f4d6cc8190a5bc9732958c41d4 |
completed | March 21, 2026, 5:48 p.m. |
Created at: March 20, 2026, 1:44 p.m.