Triple
T17437927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derrty Entertainment |
E424053
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Big Gipp |
—
|
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: Big Gipp | Statement: [Derrty Entertainment, hasArtist, Big Gipp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Gipp Context triple: [Derrty Entertainment, hasArtist, Big Gipp]
-
A.
Big Gipp
chosen
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.
-
B.
Jumbo Joe
Jumbo Joe is the longtime NHL star Joe Thornton, a high-scoring playmaking center known for his size, vision, and lengthy career with teams like the Boston Bruins and San Jose Sharks.
-
C.
Buster Brown
Buster Brown was an Australian blues-rock band best known as an early vehicle for future AC/DC drummer Phil Rudd.
-
D.
Buster Brown
Buster Brown was an influential American tap dancer and performer known for his smooth style, improvisational brilliance, and mentorship of later tap greats.
-
E.
Big Jim
Big Jim is the nickname of Jim McKay, a notable individual recognized by this moniker.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff468a08190bdc5cebb8162b4ba |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.