Triple
T13717767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sittin' Sidewayz |
E328947
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Big Pokey |
E1058281
|
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: Big Pokey | Statement: [Sittin' Sidewayz, writer, Big Pokey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Pokey Context triple: [Sittin' Sidewayz, writer, Big Pokey]
-
A.
Big Pokey
chosen
Big Pokey was a Houston-based American rapper and member of the Screwed Up Click, known for his deep voice and influential role in the early Southern hip hop and chopped-and-screwed movement.
-
B.
Pokey
Pokey is the nickname of Pokey Chatman, an American basketball coach known for her successful tenure in women’s college and professional basketball.
-
C.
Pokey
Pokey is a recurring cactus-like enemy character in Nintendo’s Mario series, known for its stacked body segments and appearance in desert-themed levels.
-
D.
Pogo Joe
Pogo Joe is the nickname of Joe Caldwell, a former American professional basketball player known for his exceptional leaping ability.
-
E.
Plump Jack
Plump Jack is an opera by American composer Gordon Getty, based on the character Sir John Falstaff from Shakespeare’s history plays.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cd0280819081c524660f3822f3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:54 p.m.