Triple
T10716233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirrty |
E252675
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jasper Cameron |
E252675
|
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: Jasper Cameron | Statement: [Dirrty, producer, Jasper Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasper Cameron Context triple: [Dirrty, producer, Jasper Cameron]
-
A.
Jasper Cameron
chosen
Jasper Cameron is a songwriter and producer best known for co-writing pop and R&B hits, including Christina Aguilera’s “Dirrty.”
-
B.
Jasper Palmer
Jasper Palmer is a quirky, aging former political cartoonist and marijuana-growing recluse who serves as a wise, compassionate ally to the protagonists in the dystopian film "Children of Men."
-
C.
Jack Cameron
Jack Cameron is an actor known for his role in the production "Applause."
-
D.
Jeremy Carver
Jeremy Carver is a television writer and producer best known for his work on genre series such as Supernatural and for serving as showrunner on DC's Doom Patrol.
-
E.
Christopher Denham
Christopher Denham is an American actor and filmmaker known for his supporting roles in films such as Argo and Shutter Island, as well as his 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3320448190899c56b02a7f5ffa |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.