Triple
T15822453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh |
E383644
|
entity |
| Predicate | nextSingle |
P25313
|
FINISHED |
| Object | Like You |
E1032221
|
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: Like You | Statement: [Oh, nextSingle, Like You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Like You Context triple: [Oh, nextSingle, Like You]
-
A.
Like You
chosen
"Like You" is a 2005 hip hop and R&B single by Bow Wow featuring Ciara that became one of his most commercially successful and recognizable songs.
-
B.
Like You
"Like You" is a song by American singer Kelis from her 2006 album *Kelis Was Here*.
-
C.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
-
D.
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.
-
E.
Girls Like You
"Girls Like You" is a song by American rapper Miguel from his debut studio album "All I Want Is You."
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a887d881908f74a1fcba390727 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99999c2c8190b1838aed40e12061 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.