Triple
T20248173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of None |
E498478
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Alan Yang Pictures |
—
|
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 Pictures | Statement: [Master of None, productionCompany, Alan Yang Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Yang Pictures Context triple: [Master of None, productionCompany, Alan Yang Pictures]
-
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.
Jimmy O. Yang
Jimmy O. Yang is a Chinese-American stand-up comedian and actor known for his roles in "Silicon Valley," "Crazy Rich Asians," and various film and voice performances.
-
C.
Nick Nguyen
Nick Nguyen is a technology entrepreneur best known as a co-founder of the social software company Tasty Labs.
-
D.
Ken Wong
Ken Wong is an Australian video game artist and designer best known for his work on the acclaimed puzzle game Monument Valley.
-
E.
Greg Yang
Greg Yang is a mathematician and AI researcher known for his work on the theoretical foundations of deep learning and his role at xAI.
- 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.