Triple
T7964300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dot da Genius |
E184958
|
entity |
| Predicate | coProduced |
P24872
|
FINISHED |
| Object | WZRD (album) |
E703393
|
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: WZRD (album) | Statement: [Dot da Genius, coProduced, WZRD (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WZRD (album) Context triple: [Dot da Genius, coProduced, WZRD (album)]
-
A.
WZRD
chosen
WZRD is an alternative rock and hip hop duo best known as the collaborative music project of Kid Cudi and producer Dot da Genius.
-
B.
Sheezus
Sheezus is a 2014 pop album by British singer-songwriter Lily Allen that blends sharp social commentary with catchy, radio-friendly production.
-
C.
The Blackening
The Blackening is a 2022 horror-comedy film that satirizes slasher-movie tropes through a predominantly Black ensemble cast and sharp social commentary.
-
D.
The Wackness
The Wackness is a 2008 coming-of-age dramedy film set in 1990s New York City, following a teenage drug dealer who trades weed for therapy sessions with his eccentric psychiatrist.
-
E.
Blatant Beast
The Blatant Beast is a monstrous symbol of slander and defamation in Edmund Spenser’s epic poem *The Faerie Queene*, representing the destructive power of malicious gossip.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ba0da588190853dda68bba0755a |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc566afad88190b53f228d836619de |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:12 p.m.