Triple
T20161650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Button Up Your Overcoat |
E491719
|
entity |
| Predicate | associatedPerformer |
P1363
|
FINISHED |
| Object | Ruth Etting |
—
|
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: Ruth Etting | Statement: [Button Up Your Overcoat, associatedPerformer, Ruth Etting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Etting Context triple: [Button Up Your Overcoat, associatedPerformer, Ruth Etting]
-
A.
Ruth Etting
chosen
Ruth Etting was a popular American singer and actress of the 1920s and 1930s, famed for hits like "Love Me or Leave Me" and known as one of the era's leading torch singers.
-
B.
Nellie Cohan
Nellie Cohan was an American vaudeville performer and the mother of famed entertainer and songwriter George M. Cohan.
-
C.
Sophie Tucker
Sophie Tucker was a popular early 20th-century American singer, comedian, and vaudeville star known as "The Last of the Red Hot Mamas."
-
D.
Mabel Mercer
Mabel Mercer was a renowned British-born cabaret singer celebrated for her subtle, conversational style and influential interpretations of the Great American Songbook.
-
E.
Blossom Dearie
Blossom Dearie was an American jazz singer and pianist known for her light, girlish voice, impeccable phrasing, and intimate, witty interpretations of standards.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.