Triple
T5184051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Armstrong and His All Stars |
E116987
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Barrett Deems |
E503298
|
NE FINISHED |
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: Barrett Deems | Statement: [Louis Armstrong and His All Stars, hasMember, Barrett Deems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrett Deems Context triple: [Louis Armstrong and His All Stars, hasMember, Barrett Deems]
-
A.
Barrett Deems
chosen
Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
-
B.
Devlin Elliott
Devlin Elliott is an American theater and film producer best known as the husband of actor Nathan Lane.
-
C.
Tim DeKay
Tim DeKay is an American actor best known for his television roles in series such as White Collar and Carnivàle.
-
D.
Sam De Grasse
Sam De Grasse was a Canadian-born silent film actor best known for his villainous roles in early Hollywood adventure and drama films.
-
E.
Joel Parker
Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799eb90c8190b738e9478699180f |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe5521dc8190b2c6f03faa436529 |
completed | March 21, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:46 p.m.