Triple
T21936849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lawrence Tyler |
E541709
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ghetto Fabulous |
—
|
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: Ghetto Fabulous | Statement: [Michael Lawrence Tyler, notableWork, Ghetto Fabulous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghetto Fabulous Context triple: [Michael Lawrence Tyler, notableWork, Ghetto Fabulous]
-
A.
Ghetto Fabulous
"Ghetto Fabulous" is a hip-hop track by West Coast rapper Ras Kass known for its sharp lyricism and commentary on materialism and street culture.
-
B.
Ghetto Fabulous
chosen
Ghetto Fabulous is a 1998 hip hop album by American rapper Mystikal that helped solidify his mainstream success in the late 1990s.
-
C.
Ghetto Queen
"Ghetto Queen" is a track from the album "R." by R. Kelly, blending R&B and hip-hop influences in a narrative about street life and love.
-
D.
Ghetto Girls
Ghetto Girls is a track from DMX’s debut album "It’s Dark and Hell Is Hot," known for its gritty lyrics and depiction of street life.
-
E.
Ghetto Thang
"Ghetto Thang" is a track by the hip-hop group De La Soul from their influential debut album *3 Feet High and Rising*.
- 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.