Triple
T7408427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-Sides |
E170937
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Drew Canulette |
E568631
|
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: Drew Canulette | Statement: [A-Sides, producer, Drew Canulette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drew Canulette Context triple: [A-Sides, producer, Drew Canulette]
-
A.
Drew Canulette
chosen
Drew Canulette is a music producer best known for his work on early grunge and alternative rock recordings, including Soundgarden’s debut studio album "Ultramega OK."
-
B.
Drew Correa
Drew Correa is a Grammy-winning audio engineer and record producer known for his work in hip-hop and R&B.
-
C.
Ethan Maniquis
Ethan Maniquis is a film editor and director best known for co-directing the action exploitation film "Machete."
-
D.
Doneen Arquines
Doneen Arquines is a television producer best known for serving as an executive producer on the acclaimed culinary competition series "Top Chef."
-
E.
Jonas Rivera
Jonas Rivera is an American film producer at Pixar Animation Studios known for producing acclaimed animated features such as "Up" and "Inside Out."
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29acf588190a7c4056bdc4f3ffc |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111fcd948190adbe6280df53a916 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.