Triple
T1226196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JHUD |
E26331
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Oak Felder |
E47628
|
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: Oak Felder | Statement: [JHUD, producer, Oak Felder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oak Felder Context triple: [JHUD, producer, Oak Felder]
-
A.
Oak Felder
chosen
Oak Felder is a Grammy-winning Turkish-American record producer and songwriter known for crafting pop and R&B hits for artists such as John Legend, Demi Lovato, and Alessia Cara.
-
B.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
C.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
D.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
E.
Tyler Volk
Tyler Volk is an American biologist, author, and professor known for his work on biosphere science, global ecology, and the evolution of complex systems.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce5bdd248190a66551c814dcfac4 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:47 p.m.