Triple
T23371491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuttin’ But Love |
E593485
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Got Me Waiting |
—
|
NE NERFINISHED |
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: Got Me Waiting | Statement: [Nuttin’ But Love, hasPart, Got Me Waiting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Got Me Waiting Context triple: [Nuttin’ But Love, hasPart, Got Me Waiting]
-
A.
Got Me Waiting
chosen
"Got Me Waiting" is a smooth, mid-1990s R&B/hip-hop soul track by Heavy D & the Boyz known for its romantic lyrics and laid-back groove.
-
B.
Still Waiting
"Still Waiting" is a song by English singer-songwriter Tom Chaplin, best known as the frontman of the band Keane.
-
C.
Still Waiting
"Still Waiting" is a 2002 punk rock single by Canadian band Sum 41, known for its aggressive sound and politically charged lyrics criticizing apathy and global issues.
-
D.
Do I Wait
"Do I Wait" is a reflective, melancholic folk-rock song by Ryan Adams from his 2011 album *Ashes & Fire*.
-
E.
Don’t Keep Me Waiting
"Don’t Keep Me Waiting" is a popular Afrobeats/hip-hop song by Ghanaian rapper and singer Kwesi Arthur, known for its catchy melody and romantic theme.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.