Triple
T10244492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whack World |
E240177
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Tierra Whack |
E240177
|
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: Tierra Whack | Statement: [Whack World, performer, Tierra Whack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tierra Whack Context triple: [Whack World, performer, Tierra Whack]
-
A.
Tierra Whack
chosen
Tierra Whack is an American rapper, singer, and songwriter known for her inventive, genre-blending style and the critically acclaimed visual album "Whack World."
-
B.
Saweetie
Saweetie is an American rapper and songwriter known for her catchy, confident hip-hop tracks like "ICY GRL" and "My Type."
-
C.
Sheck Wes
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.
-
D.
Tee Grizzley
Tee Grizzley is an American rapper from Detroit known for his gritty storytelling and breakout hit "First Day Out."
-
E.
Tainy
Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fea9c508190b92f7205424861cd |
completed | April 9, 2026, 7:06 a.m. |
Created at: April 6, 2026, 11:26 a.m.