Triple
T17025640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Magnificent Butcher |
E413056
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Wei Pai |
E1057327
|
NE FINISHED |
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: Wei Pai | Statement: [The Magnificent Butcher, castMember, Wei Pai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wei Pai Context triple: [The Magnificent Butcher, castMember, Wei Pai]
-
A.
Wei Pai
chosen
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."
-
B.
Chien-Po
Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
-
C.
Wu Ta-You
Wu Ta-You was a prominent Chinese theoretical physicist often regarded as the father of modern Chinese physics.
-
D.
Jian Pei
Jian Pei is a prominent computer scientist known for his influential research in data mining, database systems, and knowledge discovery.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.