Triple
T18731306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Farewell (2019 film) |
E458040
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Chen Han |
—
|
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: Chen Han | Statement: [The Farewell (2019 film), stars, Chen Han]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chen Han Context triple: [The Farewell (2019 film), stars, Chen Han]
-
A.
Chen Han
chosen
Chen Han is an actor known for appearing in the acclaimed family drama film "The Farewell."
-
B.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
C.
Chen Feng
Chen Feng is a Chinese entrepreneur best known as the co-founder and longtime chairman of the HNA Group conglomerate.
-
D.
Chen Qian
Chen Qian, better known as Emperor Wen of Chen, was a 6th-century ruler of the Chen dynasty in southern China noted for consolidating the state and promoting relative stability during a turbulent era.
-
E.
Chen Lin
Chen Lin was a prominent Ming dynasty naval commander who played a key role in defending Korea against Japanese forces during the late 16th-century Imjin War.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d778cf8819083500600b9ac0744 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.