Triple
T8729509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The River |
E207215
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Wanna Marry You |
E216550
|
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: I Wanna Marry You | Statement: [The River, hasPart, I Wanna Marry You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wanna Marry You Context triple: [The River, hasPart, I Wanna Marry You]
-
A.
I Wanna Marry You
chosen
"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.
-
B.
Will You Marry Me
"Will You Marry Me" is a romantic-themed song by Lenny Kravitz from his album *It Is Time for a Love Revolution*.
-
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.
I Wanna Love You
"I Wanna Love You" is a 2006 hip hop and R&B single by Akon featuring Snoop Dogg that became a major international hit.
-
E.
I Wanna Love You
"I Wanna Love You" is a song featured on the debut studio album *The 18th Day* by British singer-songwriter Estelle.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d19fdc88190860e0c9c93ab79ce |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2923abc48190a5b6027c2e4f1db7 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.