Triple
T5137583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cool Papa Bell |
E115864
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cool Papa Bell |
E115864
|
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: Cool Papa Bell | Statement: [Cool Papa Bell, name, Cool Papa Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cool Papa Bell Context triple: [Cool Papa Bell, name, Cool Papa Bell]
-
A.
Cool Papa Bell
chosen
Cool Papa Bell was an American center fielder renowned as one of the fastest and most dynamic stars in Negro league baseball history.
-
B.
Don Redman
Don Redman was an influential American jazz arranger, composer, and bandleader whose innovative orchestrations in the 1920s and 1930s helped shape the sound of big band swing.
-
C.
Big Gipp
Big Gipp is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
D.
Lefty O'Doul
Lefty O'Doul was an American baseball player and manager renowned as one of the greatest hitters of his era and a key figure in popularizing baseball in Japan.
-
E.
Totó
Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7851ed788190a2480cd9e619930f |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4d342c8819088f67c01d3769a6d |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:43 p.m.