Triple
T13736253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Deadly Venoms |
E329953
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Wei Pai
Wei Pai is a Hong Kong martial arts actor best known for his role in the classic Shaw Brothers kung fu film "Five Deadly Venoms."
|
E1057327
|
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: Wei Pai | Statement: [Five Deadly Venoms, starring, Wei Pai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wei Pai Context triple: [Five Deadly Venoms, starring, Wei Pai]
-
A.
Wu Ta-You
Wu Ta-You was a prominent Chinese theoretical physicist often regarded as the father of modern Chinese physics.
-
B.
Wei-Wei
Wei-Wei is a central character in Ang Lee’s film "The Wedding Banquet," a young Chinese woman who enters a marriage of convenience that becomes emotionally complicated.
-
C.
Wei Wei Yong
Wei Wei Yong is a supporting gymnast character in the 2006 sports comedy-drama film "Stick It," known for her energetic personality and comedic moments on the team.
-
D.
Pan Wuyun
Pan Wuyun is a Chinese historical linguist and philologist known for his influential reconstructions of Old Chinese phonology.
-
E.
He Ping
He Ping is a Chinese political figure known primarily as the husband of Deng Rong, the daughter of former Chinese leader Deng Xiaoping.
- 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: Wei Pai Triple: [Five Deadly Venoms, starring, Wei Pai]
Generated description
Wei Pai is a Hong Kong martial arts actor best known for his role in the classic Shaw Brothers kung fu film "Five Deadly Venoms."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wei Pai Target entity description: Wei Pai is a Hong Kong martial arts actor best known for his role in the classic Shaw Brothers kung fu film "Five Deadly Venoms."
-
A.
Wu Ta-You
Wu Ta-You was a prominent Chinese theoretical physicist often regarded as the father of modern Chinese physics.
-
B.
Wei-Wei
Wei-Wei is a central character in Ang Lee’s film "The Wedding Banquet," a young Chinese woman who enters a marriage of convenience that becomes emotionally complicated.
-
C.
Wei Wei Yong
Wei Wei Yong is a supporting gymnast character in the 2006 sports comedy-drama film "Stick It," known for her energetic personality and comedic moments on the team.
-
D.
Pan Wuyun
Pan Wuyun is a Chinese historical linguist and philologist known for his influential reconstructions of Old Chinese phonology.
-
E.
He Ping
He Ping is a Chinese political figure known primarily as the husband of Deng Rong, the daughter of former Chinese leader Deng Xiaoping.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d68da04819089c95d9bfedc7496 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79f1051b48190ac4704b43e759237 |
completed | May 3, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fdf974081909108b0fd89e76d56 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:55 p.m.