Triple
T23339401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiger Rag |
E591693
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Tony Sbarbaro |
—
|
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: Tony Sbarbaro | Statement: [Tiger Rag, composer, Tony Sbarbaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Sbarbaro Context triple: [Tiger Rag, composer, Tony Sbarbaro]
-
A.
Tony Sbarbaro
chosen
Tony Sbarbaro was an American jazz drummer best known for his influential work with the pioneering Original Dixieland Jass Band in the early 20th century.
-
B.
Pete Cortese
Pete Cortese is a guitarist best known for his early involvement in the metalcore band Killswitch Engage.
-
C.
Tony Mangurian
Tony Mangurian is a music producer, engineer, and multi-instrumentalist known for his studio work with artists such as Robbie Robertson.
-
D.
Eugene De Rosa
Eugene De Rosa was an American architect best known for designing prominent early 20th-century theaters and movie palaces in New York City.
-
E.
Don Panoz
Don Panoz was an American entrepreneur and motorsport visionary best known for co-founding Mylan Pharmaceuticals and creating the Panoz sports car and racing enterprises.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198317f4c8190a557cacb86568d6c |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:17 p.m.