Triple
T9166847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Bunny |
E219980
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Like It |
E210385
|
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 Like It | Statement: [Bad Bunny, notableWork, I Like It]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Like It Context triple: [Bad Bunny, notableWork, I Like It]
-
A.
I Like It
chosen
"I Like It" is a 2018 Latin trap and hip-hop single by Cardi B featuring Bad Bunny and J Balvin, known for its sample of Pete Rodriguez’s "I Like It Like That" and its global chart-topping success.
-
B.
I Like It
"I Like It" is a dance-pop song produced by RedOne, best known for its energetic club sound and catchy, radio-friendly hook.
-
C.
I Like It, I Love It
"I Like It, I Love It" is a popular 1995 country song by American singer Tim McGraw that became one of his signature hits.
-
D.
I Like It Here
"I Like It Here" is a comic novel by British author Kingsley Amis, following a writer’s misadventures abroad and showcasing Amis’s characteristic wit and satire.
-
E.
I Like
"I Like" is a creative work associated with Guy, likely a song or artistic piece that contributed to his recognition.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaade47cc81909b5c127dc8aa1340 |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0548b0e6c819090ece33b9ede9fa6 |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:22 p.m.