Triple
T20942607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rule 3:36 |
E515760
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Put It on Me |
—
|
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: Put It on Me | Statement: [Rule 3:36, notableSingle, Put It on Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Put It on Me Context triple: [Rule 3:36, notableSingle, Put It on Me]
-
A.
Put It on Me
chosen
"Put It on Me" is a hit hip-hop/R&B single by Ja Rule, featuring Lil' Mo and Vita, that became one of his signature songs in the early 2000s.
-
B.
Have One on Me
Have One on Me is an expansive, critically acclaimed 2010 triple album by American singer-songwriter and harpist Joanna Newsom, noted for its intricate compositions and poetic lyrics.
-
C.
All On Me
"All On Me" is a song featured on the album "Balance."
-
D.
Nothin' on You
"Nothin' on You" is a hit pop-rap single by B.o.B featuring Bruno Mars, known for its catchy hook and romantic lyrics that helped launch Mars's mainstream career.
-
E.
Lay It All on Me
"Lay It All on Me" is a collaborative pop song by British drum and bass group Rudimental featuring Ed Sheeran, known for its emotive lyrics and electronic production.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f9571c448190b314a66e02772b1e |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.