Triple
T17024670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Lin |
E413031
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Jaycee Chan |
E413032
|
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: Jaycee Chan | Statement: [Joan Lin, relative, Jaycee Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaycee Chan Context triple: [Joan Lin, relative, Jaycee Chan]
-
A.
Jaycee Chan
chosen
Jaycee Chan is a Hong Kong-American actor and singer known for his work in film and music, as well as for being the son of martial arts star Jackie Chan.
-
B.
Kelly Chan
Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
-
C.
Dean Shek
Dean Shek was a Hong Kong actor and film producer best known for his comic supporting roles in classic martial arts and comedy films of the 1970s and 1980s.
-
D.
Ronnie Chan
Ronnie Chan is a Hong Kong billionaire businessman and philanthropist best known as the chairman of Hang Lung Group and for his prominent role in property development and higher-education philanthropy.
-
E.
Ryan Chan
Ryan Chan is a film editor known for his work on the 2020 adaptation of "The Witches."
- 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_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ef70208190b26029511e91afb0 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.