Triple
T7289291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerous Woman |
E163950
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Let Me Love You |
E186406
|
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: Let Me Love You | Statement: [Dangerous Woman, hasSingle, Let Me Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me Love You Context triple: [Dangerous Woman, hasSingle, Let Me Love You]
-
A.
Let Me Love You
chosen
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
B.
Let Me Love You
"Let Me Love You" is a 2004 R&B ballad by American singer Mario that became a major international hit and one of his signature songs.
-
C.
Love Me
"Love Me" is a creative work, likely a song or film, recognized as a notable part of an artist's or creator's body of work.
-
D.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
E.
Let Me Love You (Until You Learn to Love Yourself)
"Let Me Love You (Until You Learn to Love Yourself)" is a 2012 dance-pop and R&B single by Ne-Yo that became one of his major international hits.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4a31608190ba465e22e7a81782 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.