Triple
T19376895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Ping |
E484693
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Zhou Xiaowen
Zhou Xiaowen is a Chinese film director known for his contributions to contemporary Chinese cinema.
|
E1471774
|
NE FINISHED |
How this triple was built (4 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 Xiaowen | Statement: [He Ping, spouse, Zhou Xiaowen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhou Xiaowen Context triple: [He Ping, spouse, Zhou Xiaowen]
-
A.
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.
-
B.
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.
-
C.
Zhao Jiwei
Zhao Jiwei is a prominent Chinese professional basketball guard known for his playmaking and leadership for both the Liaoning Flying Leopards in the CBA and the Chinese national team.
-
D.
Zhou Weiping
Zhou Weiping is a film producer best known for producing the acclaimed Chinese movie "Red Sorghum."
-
E.
Zhou Ying
Zhou Ying is a film editor known for her work on the acclaimed Chinese drama film "Not One Less."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zhou Xiaowen Triple: [He Ping, spouse, Zhou Xiaowen]
Generated description
Zhou Xiaowen is a Chinese film director known for his contributions to contemporary Chinese cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhou Xiaowen Target entity description: Zhou Xiaowen is a Chinese film director known for his contributions to contemporary Chinese cinema.
-
A.
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.
-
B.
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.
-
C.
Zhao Jiwei
Zhao Jiwei is a prominent Chinese professional basketball guard known for his playmaking and leadership for both the Liaoning Flying Leopards in the CBA and the Chinese national team.
-
D.
Zhou Weiping
Zhou Weiping is a film producer best known for producing the acclaimed Chinese movie "Red Sorghum."
-
E.
Zhou Ying
Zhou Ying is a film editor known for her work on the acclaimed Chinese drama film "Not One Less."
- F. None of above. chosen
Provenance (5 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097eaf5bac8190b8904b5834225aa1 |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a098022524481908858de1c80172973 |
completed | May 17, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09810158948190a9504d50c964efd9 |
completed | May 17, 2026, 8:49 a.m. |
Created at: April 10, 2026, 1:35 p.m.