Triple
T3129188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Rakeem |
E65368
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Ooh I Love You Rakeem |
E329941
|
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: Ooh I Love You Rakeem | Statement: [Prince Rakeem, notableSingle, Ooh I Love You Rakeem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ooh I Love You Rakeem Context triple: [Prince Rakeem, notableSingle, Ooh I Love You Rakeem]
-
A.
Ooh I Love You Rakeem
chosen
"Ooh I Love You Rakeem" is an early hip hop single by Prince Rakeem, better known as RZA of the Wu-Tang Clan, showcasing his pre–Wu-Tang musical style.
-
B.
Uh-Oh
Uh-Oh is a 1992 solo album by David Byrne that blends art rock with Latin and world music influences.
-
C.
My Love Is Like Woah
"My Love Is Like Woah" is a 2003 R&B single by American singer Mýa, known for its catchy hook, confident lyrics, and prominent dance-focused music video.
-
D.
Gonna Love Me
"Gonna Love Me" is a soulful R&B song by Teyana Taylor that blends nostalgic 1990s influences with contemporary production and intimate, confessional lyrics.
-
E.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada548123c8190bcfe780c65941585 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224d860dc819095a864619bc29411 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.