Triple
T13073231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Moonshine Jungle Tour |
E329504
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Marry You |
E329501
|
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: Marry You | Statement: [The Moonshine Jungle Tour, featuresSong, Marry You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marry You Context triple: [The Moonshine Jungle Tour, featuresSong, Marry You]
-
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
chosen
"Marry You" is a catchy pop song by Bruno Mars known for its upbeat, romantic theme about impulsively getting married.
-
C.
Marry Me
Marry Me is the 2007 debut studio album by American musician St. Vincent, showcasing her eclectic art rock and baroque pop style.
-
D.
Marry Me
"Marry Me" is a song featured on Yemi Alade’s album *Mama Africa*, showcasing her Afro-pop style and vibrant vocal performance.
-
E.
Watch Me Get Married
"Watch Me Get Married" is a song by Bill Callahan from his introspective 2019 album "Shepherd in a Sheepskin Vest."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ead460908190a566f5416e456aeb |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9 p.m.