Triple
T22210131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leehom Wang |
E548920
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leehom Wang |
—
|
NE NERFINISHED |
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: Leehom Wang | Statement: [Leehom Wang, name, Leehom Wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leehom Wang Context triple: [Leehom Wang, name, Leehom Wang]
-
A.
Leehom Wang
chosen
Leehom Wang is a Taiwanese-American singer-songwriter and actor known for pioneering the fusion of Chinese musical elements with Western pop and for his prominent roles in Chinese-language cinema.
-
B.
Leo Wu
Leo Wu is a popular Chinese actor known for his roles in historical and fantasy television dramas and films.
-
C.
Vincent Yuan
Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
-
D.
John Lee Ka-chiu
John Lee Ka-chiu is a Hong Kong politician and former security official who serves as the Chief Executive, the city's top leader.
-
E.
Roger Yuan
Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2aefb881909bddbabd4be0bd58 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.