Triple
T6455820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heavy D & the Boyz |
E141989
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Nuttin’ But Love |
E593485
|
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: Nuttin’ But Love | Statement: [Heavy D & the Boyz, album, Nuttin’ But Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuttin’ But Love Context triple: [Heavy D & the Boyz, album, Nuttin’ But Love]
-
A.
Nuttin’ But Love
chosen
Nuttin’ But Love is a 1994 hip hop album by Heavy D & the Boyz known for its smooth, upbeat production and commercially successful singles.
-
B.
Nothin’ But Love
"Nothin’ But Love" is a song by Whitney Houston from her 2009 studio album "I Look to You."
-
C.
Nothing But Love
"Nothing But Love" is a song by country-rock musician Dwight Yoakam from his album "3 Pears."
-
D.
Ma, I Don't Love Her
"Ma, I Don't Love Her" is a hip-hop track by the duo Clipse, known for its storytelling about complicated relationships over a Neptunes-produced beat.
-
E.
The One I Love
The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d4d588819090e8a56c46c0bfe9 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65394d8b481909868faf79f3d2383 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:48 p.m.