Triple
T17749333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road Home |
E443071
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Zhou Ying |
—
|
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: Zhou Ying | Statement: [The Road Home, editedBy, Zhou Ying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhou Ying Context triple: [The Road Home, editedBy, Zhou Ying]
-
A.
Zhou Ying
chosen
Zhou Ying is a film editor known for her work on the acclaimed Chinese drama film "Not One Less."
-
B.
Zhou Xiaoou
Zhou Xiaoou is a Chinese actor and musician best known as a member of the pop group Snowkel and for his roles in contemporary Chinese films and television dramas.
-
C.
Zhou Lingzhao
Zhou Lingzhao was a Chinese artist and designer best known for helping create foundational national symbols of the People’s Republic of China, including its national emblem.
-
D.
Zhou Haiying
Zhou Haiying was the son of renowned Chinese writer Lu Xun and later became known as a scholar and custodian of his father's literary legacy.
-
E.
Zeng Xinying
Zeng Xinying is a Taiwanese businesswoman best known as the wife of Foxconn founder and billionaire Terry Gou.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.