Triple
T7925928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Jonsin |
E184059
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Whatever You Like |
E489240
|
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: Whatever You Like | Statement: [Jim Jonsin, notableWork, Whatever You Like]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whatever You Like Context triple: [Jim Jonsin, notableWork, Whatever You Like]
-
A.
Whatever You Like
chosen
"Whatever You Like" is a popular hip hop and R&B single by American rapper T.I., known for its catchy hook and themes of luxury and generosity in romantic relationships.
-
B.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
-
C.
Whatever You Want
"Whatever You Want" is a smooth R&B ballad by Tony! Toni! Toné! that became one of the group's signature hits in the early 1990s.
-
D.
Girls Like You
"Girls Like You" is a song by American rapper Miguel from his debut studio album "All I Want Is You."
-
E.
Girls Like You
"Girls Like You" is a pop song by Maroon 5, widely known for its catchy melody and a hit remix featuring rapper Cardi B that topped charts worldwide.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aae51388190aaedbccd8a16f0ca |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bf89a0c81908e1cb988c0bc1d62 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:06 p.m.