Triple
T20831770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Hard Feelings |
E512844
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Close To You |
—
|
NE NERFINISHED |
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: Close To You | Statement: [No Hard Feelings, hasSingle, Close To You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Close To You Context triple: [No Hard Feelings, hasSingle, Close To You]
-
A.
Close To You
"Close To You" is a popular R&B/hip-hop track by American rapper and singer Dreezy featuring T-Pain, known for its smooth melody and romantic theme.
-
B.
Close To You
chosen
"Close To You" is a segment or component of the 2023 American coming-of-age comedy film "No Hard Feelings."
-
C.
Close to You
"Close to You" is a song by Barbadian singer Rihanna from her album "Anti," known for its emotional, piano-driven ballad style.
-
D.
Close to You
"Close to You" is a popular song by American singer-songwriter Gracie Abrams, known for its intimate lyrics and emotionally vulnerable indie-pop style.
-
E.
Close to You
"Close to You" is a hip hop album by rapper Father MC that showcases his smooth, R&B-influenced style and storytelling lyricism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3224e788190bfc4d3dcbaa674a7 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.