Triple
T8637172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JackBoys |
E204550
|
entity |
| Predicate | JACKBOYS |
P84368
|
FINISHED |
| Object | includesArtist Sheck Wes |
E41039
|
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: includesArtist Sheck Wes | Statement: [JackBoys, JACKBOYS, includesArtist Sheck Wes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: includesArtist Sheck Wes Context triple: [JackBoys, JACKBOYS, includesArtist Sheck Wes]
-
A.
Sheck Wes
chosen
Sheck Wes is an American rapper and songwriter best known for his breakout hit single "Mo Bamba" and his association with Kanye West’s GOOD Music label.
-
B.
Wale
Wale is an American rapper and songwriter known for his witty wordplay, poetic lyricism, and hits like "Lotus Flower Bomb" and "Bad."
-
C.
Curteys
Curteys is a surname, historically used in English-speaking regions as a variant spelling of Curteis or Curtis.
-
D.
Artis
Artis is a masculine given name most notably borne by Hall of Fame basketball center Artis Gilmore.
-
E.
Wiz Khalifa
Wiz Khalifa is an American rapper, singer, and songwriter known for hits like "Black and Yellow" and his laid-back, weed-centric persona.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c2d852081908901f5d2a47035b0 |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc23d6808190801993e41d93bb9c |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:27 p.m.