Triple
T15122004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My World |
E361192
|
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: [My World, producer, Oak Felder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oak Felder Context triple: [My World, 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.
Sam Feldt
Sam Feldt is a Dutch DJ and electronic music producer known for his melodic deep house tracks and tropical house remixes.
-
C.
Rowan Joffe
Rowan Joffe is a British screenwriter and director known for his work on film and television thrillers, including creating the series "Tin Star."
-
D.
Jeremy Bobb
Jeremy Bobb is an American actor known for his character roles in film and television, including appearances in series like "The Knick," "Russian Doll," and "The Outsider."
-
E.
Rowan Blanchard
Rowan Blanchard is an American actress best known for her lead role as Riley Matthews on the Disney Channel series "Girl Meets World."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfe6c9cc8190b15e81092faa8ccf |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:06 a.m.