Triple
T4043601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waves |
E84009
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Plain Pat |
E65286
|
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: Plain Pat | Statement: [Waves, producer, Plain Pat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plain Pat Context triple: [Waves, producer, Plain Pat]
-
A.
Plain Pat
chosen
Plain Pat is an American hip-hop producer and A&R known for his influential work with artists like Kanye West and Kid Cudi.
-
B.
Basic English
Basic English is a simplified form of the English language that uses a restricted core vocabulary to make learning and international communication easier.
-
C.
Simple
Simple is the plainspoken, witty African American everyman created by Langston Hughes, often used to explore Black life, social issues, and racial injustice in mid-20th-century America.
-
D.
Common Voice
Common Voice is an open-source, crowdsourced dataset of voice recordings created to help train and improve speech recognition technologies for diverse languages and accents.
-
E.
Real Simple
Real Simple is a lifestyle magazine and media brand focused on practical tips for home, organization, cooking, and everyday living.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5d759c8190b61fbbe94ffe2bf7 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564fb54c81909f40ca1d6f1e521e |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.