Triple
T15296667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Noon |
E365677
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Chon Wang |
E413021
|
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: Chon Wang | Statement: [Shanghai Noon, mainCharacter, Chon Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chon Wang Context triple: [Shanghai Noon, mainCharacter, Chon Wang]
-
A.
Chan Kong-sang
chosen
Chan Kong-sang is the birth name of Jackie Chan, the internationally renowned Hong Kong martial artist, actor, stuntman, and filmmaker.
-
B.
Chinyol Yi
Chinyol Yi is an entrepreneur best known as the founder of the LA Fitness chain of health clubs.
-
C.
Ka Ho Cho
Ka Ho Cho is best known as the fourth and final wife of American comedian and actor Redd Foxx.
-
D.
Chin Yang
Chin Yang is the given name of C. Y. Lee, a Chinese-American author best known for his novel "The Flower Drum Song."
-
E.
Cho Chang
Cho Chang is a Ravenclaw student at Hogwarts and Harry Potter’s early love interest, known for her role on the Ravenclaw Quidditch team and her involvement in the events surrounding Cedric Diggory.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.