Triple
T14190812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crime Pays |
E351707
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Y-Not |
E144128
|
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: Y-Not | Statement: [Crime Pays, producer, Y-Not]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Y-Not Context triple: [Crime Pays, producer, Y-Not]
-
A.
Y-Not
chosen
Y-Not is a music producer best known for working on the influential hip-hop album "Electric Circus."
-
B.
Baco Noir
Baco Noir is a French-American hybrid red wine grape known for producing deeply colored, robust wines with pronounced dark fruit and smoky, earthy flavors, particularly popular in cool-climate regions of North America.
-
C.
Ninzam
Ninzam is a Plateau language of central Nigeria, spoken by a small ethnic community and known for its place within the Benue–Congo branch of the Niger-Congo language family.
-
D.
Godrich
Godrich is the surname of Nigel Godrich, the renowned English record producer best known for his work with Radiohead.
-
E.
Boys Noize
Boys Noize is a German electronic music producer and DJ known for his hard-hitting techno, electro, and house tracks as well as high-profile collaborations and remixes.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1946eb68819096adf3c16a39818d |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.