Triple
T12990957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Africa |
E321903
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Marry Me
"Marry Me" is a song featured on Yemi Alade’s album *Mama Africa*, showcasing her Afro-pop style and vibrant vocal performance.
|
E1013962
|
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: [Mama Africa, hasPart, Marry Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marry Me Context triple: [Mama Africa, hasPart, Marry Me]
-
A.
Marry Me
Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
-
B.
Marry Me (album)
"Marry Me" is a pop album by English singer-songwriter Olly Murs, showcasing his upbeat, radio-friendly style and catchy, contemporary tracks.
-
C.
Marry You
"Marry You" is a song featured on the collaborative blues album "Riding with the King" by B.B. King and Eric Clapton.
-
D.
Marry You
"Marry You" is a catchy pop song by Bruno Mars known for its upbeat, romantic theme about impulsively getting married.
-
E.
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.
- 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: [Mama Africa, hasPart, Marry Me]
Generated description
"Marry Me" is a song featured on Yemi Alade’s album *Mama Africa*, showcasing her Afro-pop style and vibrant vocal performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marry Me Target entity description: "Marry Me" is a song featured on Yemi Alade’s album *Mama Africa*, showcasing her Afro-pop style and vibrant vocal performance.
-
A.
Marry Me
Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
-
B.
Marry Me (album)
"Marry Me" is a pop album by English singer-songwriter Olly Murs, showcasing his upbeat, radio-friendly style and catchy, contemporary tracks.
-
C.
Marry You
"Marry You" is a song featured on the collaborative blues album "Riding with the King" by B.B. King and Eric Clapton.
-
D.
Marry You
"Marry You" is a catchy pop song by Bruno Mars known for its upbeat, romantic theme about impulsively getting married.
-
E.
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.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6baa76e8c8190b84fd31657ef3385 |
completed | May 3, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.