Triple
T21723489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unpredictable |
E536218
|
entity |
| Predicate | followedBy |
P78
|
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: [Unpredictable, followedBy, Ghetto Fabulous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghetto Fabulous Context triple: [Unpredictable, followedBy, Ghetto Fabulous]
-
A.
Ghetto Fabulous
chosen
"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 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.
-
C.
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.
-
D.
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*.
-
E.
Ghetto Classics
Ghetto Classics is an R&B album by American singer Jaheim that blends soulful vocals with contemporary production and streetwise themes.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.