Triple
T23370569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Much Fun |
E593459
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tay Keith |
E540098
|
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: Tay Keith | Statement: [So Much Fun, producer, Tay Keith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tay Keith Context triple: [So Much Fun, producer, Tay Keith]
-
A.
Tay Keith
chosen
Tay Keith is an American record producer and songwriter best known for crafting hard-hitting trap beats for artists like Drake, Travis Scott, and Lil Baby.
-
B.
Tyga
Tyga is an American rapper and songwriter known for hits like "Rack City" and his association with the Young Money Entertainment label.
-
C.
Tay-K
Tay-K is an American rapper best known for his viral 2017 hit "The Race" and the high-profile criminal case surrounding him.
-
D.
Ray Kay
Ray Kay is a Norwegian music video director known for creating visually striking videos for numerous high-profile pop and R&B artists.
-
E.
Travie McCoy
Travie McCoy is an American rapper, singer, and songwriter best known as the frontman of Gym Class Heroes and for his solo hit "Billionaire."
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c823e54f88190a3e622bb6f999076 |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 5:32 p.m.