Triple
T18953131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Theatre Academy |
E463704
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object |
Xu Zheng
Xu Zheng is a prominent Chinese actor, director, and producer known for hit comedy films such as "Lost in Thailand" and "Lost in Hong Kong."
|
E1350490
|
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: Xu Zheng | Statement: [Shanghai Theatre Academy, hasNotableAlumni, Xu Zheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xu Zheng Context triple: [Shanghai Theatre Academy, hasNotableAlumni, Xu Zheng]
-
A.
Huang Xiaoming
Huang Xiaoming is a prominent Chinese actor, singer, and producer known for his leading roles in popular television dramas and films.
-
B.
Lu Wei
Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
-
C.
Feng Shaofeng
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
-
D.
Zhen Lei
Zhen Lei is a member of the elite covert operations team known as the Impossible Missions Force in the Mission: Impossible franchise.
-
E.
Lu Jun
Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
- 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: Xu Zheng Triple: [Shanghai Theatre Academy, hasNotableAlumni, Xu Zheng]
Generated description
Xu Zheng is a prominent Chinese actor, director, and producer known for hit comedy films such as "Lost in Thailand" and "Lost in Hong Kong."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xu Zheng Target entity description: Xu Zheng is a prominent Chinese actor, director, and producer known for hit comedy films such as "Lost in Thailand" and "Lost in Hong Kong."
-
A.
Huang Xiaoming
Huang Xiaoming is a prominent Chinese actor, singer, and producer known for his leading roles in popular television dramas and films.
-
B.
Lu Wei
Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
-
C.
Feng Shaofeng
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
-
D.
Zhen Lei
Zhen Lei is a member of the elite covert operations team known as the Impossible Missions Force in the Mission: Impossible franchise.
-
E.
Lu Jun
Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d544fef8819091147189ddd89617 |
completed | April 20, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fd2cd4081909f9fa013bb8f2aec |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a161c8e88190a6f9c9abe3314487 |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1ccede88190ba784a563306b412 |
completed | May 14, 2026, 10:19 a.m. |
Created at: April 10, 2026, noon