Triple
T22210184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wai-Tung Gao |
E548921
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Neil Peng |
—
|
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: Neil Peng | Statement: [Wai-Tung Gao, createdBy, Neil Peng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Peng Context triple: [Wai-Tung Gao, createdBy, Neil Peng]
-
A.
Neil Peng
chosen
Neil Peng is a Taiwanese screenwriter best known for co-writing Ang Lee’s acclaimed film "The Wedding Banquet."
-
B.
Ian Chen
Ian Chen is a Taiwanese-American child actor best known for his roles in the TV series "Fresh Off the Boat" and the superhero film "Shazam!".
-
C.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
D.
Joe Chen
Joe Chen is an entrepreneur best known as a co-founder of the defense technology company Anduril Industries.
-
E.
Peter Wang
Peter Wang was a Taiwanese-American actor and filmmaker best known for his role in the influential Asian American independent film "Chan Is Missing."
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2aefb881909bddbabd4be0bd58 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.