Triple
T20248145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of None |
E498478
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Alan Yang |
—
|
NE NERFINISHED |
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: Alan Yang | Statement: [Master of None, creator, Alan Yang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Yang Context triple: [Master of None, creator, Alan Yang]
-
A.
Alan Yang
chosen
Alan Yang is an American television writer, producer, and director best known for co-creating the acclaimed series "Master of None" and his work on shows like "Parks and Recreation."
-
B.
Ronny Chieng
Ronny Chieng is a Malaysian-born comedian and actor best known as a correspondent on The Daily Show and for co-writing and starring in the sitcom Ronny Chieng: International Student.
-
C.
Ken Wong
Ken Wong is an Australian video game artist and designer best known for his work on the acclaimed puzzle game Monument Valley.
-
D.
Andrew Shue
Andrew Shue is an American actor and entrepreneur best known for his role on the television series "Melrose Place" and for co-founding the social networking site CafeMom.
-
E.
Nick Nguyen
Nick Nguyen is a technology entrepreneur best known as a co-founder of the social software company Tasty Labs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.