Triple
T22442122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gui Lai |
E554777
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object | Feng Wanyu |
—
|
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: Feng Wanyu | Statement: [Gui Lai, leadCharacter, Feng Wanyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feng Wanyu Context triple: [Gui Lai, leadCharacter, Feng Wanyu]
-
A.
Feng Wanyu
chosen
Feng Wanyu is the devoted wife and emotional center of the Chinese drama film "Coming Home," whose enduring love and memory loss drive the story’s exploration of family, identity, and the lingering impact of political upheaval.
-
B.
Feng Tianwei
Feng Tianwei is a Singaporean table tennis player, originally from China, renowned for winning multiple Olympic and World Championship medals and being one of Singapore’s most successful athletes.
-
C.
Zhao Huanyu
Zhao Huanyu is an actor known for appearing in the Chinese film "Special ID."
-
D.
Ma Xingrui
Ma Xingrui is a Chinese aerospace engineer and politician who has served in senior leadership roles including as governor of Guangdong Province and Communist Party secretary of Xinjiang.
-
E.
Wang Qianyuan
Wang Qianyuan is a Chinese actor known for his acclaimed performances in both film and television, including roles in major historical and action dramas.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.