Triple
T14559169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Floor |
E341621
|
entity |
| Predicate | nextSingle |
P25313
|
FINISHED |
| Object | I'm Into You |
E1107444
|
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'm Into You | Statement: [On the Floor, nextSingle, I'm Into You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Into You Context triple: [On the Floor, nextSingle, I'm Into You]
-
A.
I’m Into You
chosen
"I'm Into You" is a pop-R&B song by Jennifer Lopez featuring Lil Wayne from her 2011 album "Love?" that achieved international chart success.
-
B.
I'm So Into You
"I'm So Into You" is an R&B/soul song by American singer Peabo Bryson, known for its smooth vocals and romantic style.
-
C.
Getting Into You
"Getting Into You" is a Christian pop-punk/rock song by Relient K known for its heartfelt lyrics about devotion and faith.
-
D.
So Into You
"So Into You" is a soft rock hit song by the Atlanta Rhythm Section, released in 1977 and known for its smooth melody and romantic lyrics.
-
E.
Into You
"Into You" is a 2016 dance-pop and EDM-influenced single by Ariana Grande, known for its sultry vocals, infectious chorus, and status as a fan-favorite highlight of her album "Dangerous Woman."
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9124af481908f43e3b541568e26 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:23 a.m.