Triple
T3783529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loud |
E85472
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sandy Vee |
E388136
|
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: Sandy Vee | Statement: [Loud, producer, Sandy Vee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandy Vee Context triple: [Loud, producer, Sandy Vee]
-
A.
Sandy Vee
chosen
Sandy Vee is a French record producer and songwriter known for crafting international pop and dance hits for artists such as Rihanna.
-
B.
Sandi
Sandi is a given name, typically a variant of Sandy, used for both males and females.
-
C.
Sandy Saddler
Sandy Saddler was an American professional boxer renowned for his punching power and for being one of the greatest featherweights in boxing history, best known for his rivalry with Willie Pep.
-
D.
Sarah Sands
Sarah Sands is a British journalist and editor best known for her leadership roles at major UK publications, including serving as editor of the London Evening Standard and later as editor of BBC Radio 4’s Today programme.
-
E.
Cynda Williams
Cynda Williams is an American actress and singer best known for her breakout role in the film "Mo' Better Blues" and subsequent work in independent cinema and television.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb19229c8190a6f0ee4ae7f52dab |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:13 p.m.