Triple
T13754205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Ain't No Use |
E330431
|
entity |
| Predicate | hasBackingVocalsBy |
P9646
|
FINISHED |
| Object | Shirley Brewer |
—
|
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: Shirley Brewer | Statement: [It Ain't No Use, hasBackingVocalsBy, Shirley Brewer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Brewer Context triple: [It Ain't No Use, hasBackingVocalsBy, Shirley Brewer]
-
A.
Shirley Brewer
chosen
Shirley Brewer is a vocalist known for her performance of the song "Smile Please."
-
B.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
C.
Betty Flanders
Betty Flanders is a central maternal figure in Virginia Woolf’s novel "Jacob’s Room," depicted as the widowed mother of the protagonist, Jacob Flanders.
-
D.
Shirley Congdon
Shirley Congdon is a British academic leader and nurse educator who serves as the Vice-Chancellor of the University of Bradford.
-
E.
Marjorie Weaver
Marjorie Weaver was an American film actress of the 1930s and 1940s, known for her roles in Hollywood studio productions including several notable dramas and comedies.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
Created at: April 9, 2026, 10:09 p.m.