Triple
T19552901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invasion of Privacy |
E489235
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Ayo the Producer |
—
|
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: Ayo the Producer | Statement: [Invasion of Privacy, hasProducer, Ayo the Producer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayo the Producer Context triple: [Invasion of Privacy, hasProducer, Ayo the Producer]
-
A.
Ayo The Producer
chosen
Ayo The Producer is a hip-hop music producer best known for his work on Kanye West’s song “Follow God.”
-
B.
Tony Yayo
Tony Yayo is an American rapper best known as a member of 50 Cent’s hip hop group G-Unit.
-
C.
Speroach Beatz
Speroach Beatz is a Nigerian record producer and songwriter known for crafting hit Afrobeats tracks for major artists in the contemporary African music scene.
-
D.
Micon Beatz
Micon Beatz is a music producer known for crafting beats and soundscapes that support artists like Empress.
-
E.
Hit-Boy
Hit-Boy is an American record producer and rapper known for crafting influential hip-hop and R&B hits for artists like Kanye West, Jay-Z, and Beyoncé.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d315c68819087402802d624a8c9 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.