Triple
T18704125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Hu |
E457327
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kelly Hu |
—
|
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: Kelly Hu | Statement: [Kelly Hu, name, Kelly Hu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Hu Context triple: [Kelly Hu, name, Kelly Hu]
-
A.
Kelly Hu
chosen
Kelly Hu is an American actress and former beauty queen known for her roles in films and television series such as "The Scorpion King," "X2: X-Men United," and various voice-acting projects.
-
B.
Kelly Chan
Kelly Chan is a Hong Kong Cantopop singer and actress known for her popularity in the late 1990s and 2000s.
-
C.
Gui Lai
Gui Lai is the Chinese title of the 2014 drama film "Coming Home," directed by Zhang Yimou and starring Gong Li, about a family torn apart and reunited during the aftermath of China's Cultural Revolution.
-
D.
Katie Leung
Katie Leung is a Scottish actress best known for playing Cho Chang in the Harry Potter film series.
-
E.
Fennie Yuen
Fennie Yuen is a Hong Kong actress best known for her roles in 1980s and 1990s Cantonese films and television dramas.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671597ac819093dbb53553130f1e |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:49 a.m.