Triple
T22373801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vite |
E553105
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Evan You |
—
|
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: Evan You | Statement: [Vite, developer, Evan You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan You Context triple: [Vite, developer, Evan You]
-
A.
Evan You
chosen
Evan You is a Chinese-American software developer best known as the creator and lead maintainer of the Vue.js JavaScript framework.
-
B.
Chris Wang
Chris Wang is an entrepreneur best known as a co-founder and former CEO of the social gaming company Playdom.
-
C.
Eric Liu
Eric Liu is an entrepreneur best known as a co-founder of the social gaming company Playdom, which was acquired by Disney.
-
D.
Evan Czaplicki
Evan Czaplicki is a software engineer best known for designing and developing Elm, a functional programming language for building reliable web front-end applications.
-
E.
Jonathan Wang
Jonathan Wang is a film producer best known for his work on the acclaimed, genre-bending movie "Everything Everywhere All at Once."
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15806b534819083716c2b090ede42 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.