Triple
T7567968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Bivins |
E178967
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Do Me! (song) |
E579713
|
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: Do Me! (song) | Statement: [Michael Bivins, notableWork, Do Me! (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Do Me! (song) Context triple: [Michael Bivins, notableWork, Do Me! (song)]
-
A.
Do Me!
chosen
"Do Me!" is a 1990 new jack swing single by R&B group Bell Biv DeVoe, known for its provocative lyrics and energetic production.
-
B.
Do I Do
"Do I Do" is a 1982 upbeat R&B and funk song by Stevie Wonder, known for its extended groove, jazz-influenced arrangement, and a prominent trumpet solo by Dizzy Gillespie.
-
C.
I Do
"I Do" is a music album by Canadian actress and singer Jill Hennessy, showcasing her blend of folk, rock, and country influences.
-
D.
What You Do to Me
"What You Do to Me" is a song featured on the album *Darkness and Light* by American singer-songwriter John Legend.
-
E.
Don't Do Me Like That
"Don't Do Me Like That" is a hit rock song by Tom Petty and the Heartbreakers, best known for its catchy hooks and appearance on their 1979 album "Damn the Torpedoes."
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f91d9bfc8190af6f5f8211c3dda2 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856e0c23481908fc59ecc318840ba |
completed | March 28, 2026, 10:32 p.m. |
Created at: March 27, 2026, 3:51 p.m.