Triple
T15276555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Jianxiong |
E365154
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Vincent Yuan |
E400614
|
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: Vincent Yuan | Statement: [Wu Jianxiong, child, Vincent Yuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Yuan Context triple: [Wu Jianxiong, child, Vincent Yuan]
-
A.
Vincent Yuan
chosen
Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
-
B.
Ron Yuan
Ron Yuan is an American actor, martial artist, and filmmaker known for his roles in action films and television series such as "Mulan," "Sons of Anarchy," and "Marco Polo."
-
C.
Roger Yuan
Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
-
D.
Wai Ching Ho
Wai Ching Ho is a Chinese-American actress known for her character roles in film and television, including work in major Hollywood productions and voice acting in animated features.
-
E.
Lee Chong
Lee Chong is the pragmatic and good-natured Chinese grocer in John Steinbeck’s novel "Cannery Row," known for running the local grocery store that serves as a social hub for the community.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef895f9708190a44ee7ade1c46a7d |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:14 a.m.