Triple
T22127105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four |
E546816
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Julian Bunetta |
—
|
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: Julian Bunetta | Statement: [Four, producer, Julian Bunetta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julian Bunetta Context triple: [Four, producer, Julian Bunetta]
-
A.
Julian Bunetta
chosen
Julian Bunetta is an American songwriter and record producer known for his work with major pop artists such as One Direction and Meghan Trainor.
-
B.
Marc E. Bassy
Marc E. Bassy is an American singer, songwriter, and producer known for his blend of R&B and pop and for collaborations with various hip-hop and R&B artists.
-
C.
Jason Derulo
Jason Derulo is an American singer, songwriter, and dancer known for his chart-topping pop and R&B hits and dynamic performances.
-
D.
Julian Fuego Thicke
Julian Fuego Thicke is the son of American singer-songwriter Robin Thicke and actress Paula Patton.
-
E.
Peter Bunetta
Peter Bunetta is a music producer best known for his work in pop and rock, including collaborations with artists like Silhouette.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.