Triple
T13694830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shug (Hustle & Flow) |
E328356
|
entity |
| Predicate | supportsCharacter |
P16523
|
FINISHED |
| Object | DJay (Hustle & Flow) |
E1054558
|
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: DJay (Hustle & Flow) | Statement: [Shug (Hustle & Flow), supportsCharacter, DJay (Hustle & Flow)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJay (Hustle & Flow) Context triple: [Shug (Hustle & Flow), supportsCharacter, DJay (Hustle & Flow)]
-
A.
DJay (Hustle & Flow)
chosen
DJay is the central character of the film "Hustle & Flow," a Memphis pimp who pursues his dream of becoming a successful rapper.
-
B.
Mr. DJ
Mr. DJ is a hip-hop music producer best known for his work with OutKast and on tracks like "Universal Mind Control."
-
C.
Go D.J.
"Go D.J." is a popular single by American rapper Lil Wayne, best known for its catchy Mannie Fresh-produced beat and its role in boosting Wayne’s mainstream prominence.
-
D.
This D.J.
"This D.J." is a 1994 West Coast hip hop single by Warren G that helped solidify his reputation following the success of "Regulate."
-
E.
Kill Da DJ
"Kill Da DJ" is a notable track from Nicki Minaj’s mixtape *Beam Me Up Scotty*, recognized for its aggressive delivery and braggadocious lyrics.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4f35888190b2c3df62bde1ce6e |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.