Triple
T15415064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snoop Dogg |
E369197
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Girl Like U |
E369197
|
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: Girl Like U | Statement: [Snoop Dogg, hasSong, Girl Like U]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl Like U Context triple: [Snoop Dogg, hasSong, Girl Like U]
-
A.
Girl Like U
chosen
"Girl Like U" is a song by Snoop Dogg from his 2004 studio album R&G (Rhythm & Gangsta): The Masterpiece.
-
B.
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.
-
C.
Girls Like You
"Girls Like You" is a song by American rapper Miguel from his debut studio album "All I Want Is You."
-
D.
Woman Like Me
"Woman Like Me" is a song by English singer-songwriter Adele from her third studio album, 30, reflecting her signature soulful vocals and introspective lyricism.
-
E.
Woman Like Me
"Woman Like Me" is a 2018 pop and reggae-infused empowerment anthem by British girl group Little Mix featuring rapper Nicki Minaj.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea7561481909b04e613e2352f82 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219fabe481909162baba9212ac1f |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.