Triple
T21672808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Me Love You Baby |
E534893
|
entity |
| Predicate | coveredBy |
P6130
|
FINISHED |
| Object | Koko Taylor |
—
|
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: Koko Taylor | Statement: [Let Me Love You Baby, coveredBy, Koko Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koko Taylor Context triple: [Let Me Love You Baby, coveredBy, Koko Taylor]
-
A.
Koko Taylor
chosen
Koko Taylor was a powerhouse American blues singer, celebrated as the "Queen of the Blues" for her raw, gritty vocals and influential Chicago blues recordings.
-
B.
Kitty Wells
Kitty Wells was an American country music singer known as the "Queen of Country Music" and for pioneering the role of women in the genre.
-
C.
Dorothy Moore
Dorothy Moore is an American soul and R&B singer best known for her emotive vocal style and 1970s hits such as "Misty Blue."
-
D.
Helen Forrest
Helen Forrest was a prominent American jazz and swing singer of the big band era, known for her work with leading orchestras and her smooth, emotive vocal style.
-
E.
Thelma Houston
Thelma Houston is an American singer and actress best known for her powerful vocals and her Grammy-winning 1977 disco hit "Don't Leave Me This Way."
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0cd7648190b9981393f0b2bee9 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:41 p.m.