Triple
T21936841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lawrence Tyler |
E541709
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Silkk the Shocker |
—
|
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: Silkk the Shocker | Statement: [Michael Lawrence Tyler, associatedWith, Silkk the Shocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silkk the Shocker Context triple: [Michael Lawrence Tyler, associatedWith, Silkk the Shocker]
-
A.
Silkk the Shocker
chosen
Silkk the Shocker is an American rapper from New Orleans known for his work with Master P’s No Limit Records and his distinctive offbeat flow in Southern hip hop.
-
B.
Bobby Kritical
Bobby Kritical is a hip-hop music producer known for his work with artists such as Lil Uzi Vert, including contributions to the mixtape "Luv Is Rage."
-
C.
Sly
Sly is a character featured as one of the members in the Head Hunters group.
-
D.
Sly
Sly is a writer best known for authoring the work "Side Effects."
-
E.
Z-Ro
Z-Ro is an American rapper and singer from Houston, Texas, known for his gritty lyrics, melodic delivery, and influential role in Southern hip hop.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241c909c81908644eb73baa9def1 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:54 p.m.