Triple
T15711644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenia Yuan |
E380852
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eugenia Yuan |
E380852
|
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: Eugenia Yuan | Statement: [Eugenia Yuan, name, Eugenia Yuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugenia Yuan Context triple: [Eugenia Yuan, name, Eugenia Yuan]
-
A.
Eugenia Yuan
chosen
Eugenia Yuan is a Hong Kong–born American actress and former rhythmic gymnast known for her roles in international martial arts and drama films.
-
B.
Lucia Guo
Lucia Guo is a Chinese-born businesswoman best known as the wife of British Conservative politician and former Chancellor of the Exchequer Jeremy Hunt.
-
C.
Jessica Huang
Jessica Huang is the strict yet loving Taiwanese-American mother and central matriarch in the sitcom "Fresh Off the Boat," known for her high expectations, frugality, and sharp wit.
-
D.
Jean Liu
Jean Liu is a prominent Chinese business executive and technology entrepreneur best known for her leadership role in ride-hailing giant Didi Chuxing.
-
E.
Renee Shin-Yi Chen
Renee Shin-Yi Chen was a child actress who was tragically killed during a helicopter accident on the set of *Twilight Zone: The Movie* in 1982.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757f571881908015fe68df2a5e69 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.