Triple
T3921560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chien-Shiung Wu |
E88969
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Vincent Yuan
Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
|
E400614
|
NE FINISHED |
How this triple was built (4 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: [Chien-Shiung Wu, child, Vincent Yuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Yuan Context triple: [Chien-Shiung Wu, child, Vincent Yuan]
-
A.
Roger Yuan
Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
-
B.
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.
-
C.
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.
-
D.
Lai-Sang Young
Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
-
E.
Eddie Wu
Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vincent Yuan Triple: [Chien-Shiung Wu, child, Vincent Yuan]
Generated description
Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vincent Yuan Target entity description: Vincent Yuan is the son of renowned Chinese-American experimental physicist Chien-Shiung Wu.
-
A.
Roger Yuan
Roger Yuan is an American martial artist, fight choreographer, and actor known for his roles and stunt work in numerous action films.
-
B.
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.
-
C.
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.
-
D.
Lai-Sang Young
Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
-
E.
Eddie Wu
Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
- F. None of above. chosen
Provenance (5 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5c28b08190b32ce81e5bd8f586 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5286c807481908a67471da777b264 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b5298d7be08190adb4a23edb716ce6 |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52de8756c81909d03188bdc29ee88 |
completed | March 14, 2026, 9:44 a.m. |
Created at: March 9, 2026, 3:22 p.m.