Triple
T21416413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smiling Lieutenant |
E528307
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Oscar Straus |
—
|
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: Oscar Straus | Statement: [The Smiling Lieutenant, musicBy, Oscar Straus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oscar Straus Context triple: [The Smiling Lieutenant, musicBy, Oscar Straus]
-
A.
Oscar Straus
Oscar Straus was a prominent American diplomat and statesman who served as U.S. Secretary of Commerce and Labor and was the first Jewish member of a U.S. presidential cabinet.
-
B.
Oscar Straus
chosen
Oscar Straus was an Austrian composer best known for his operettas and light music in the early 20th century.
-
C.
H. R. Straus
H. R. Straus was a prominent member of the influential Straus family, known for their significant contributions to American business and philanthropy.
-
D.
Otto H. Kahn
Otto H. Kahn was a prominent German-born American investment banker, philanthropist, and patron of the arts active in the early 20th century.
-
E.
Gottlieb Butz
Gottlieb Butz was a 19th-century German-American politician who served as the first mayor of Chicago, Illinois.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b205d17c8190b9b6b5708658f9be |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:46 p.m.