Triple
T19629125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar (film) |
E471217
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Fei Ren
Fei Ren is an actor best known for playing a leading role in the film "Polar."
|
E1386455
|
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: Fei Ren | Statement: [Polar (film), starring, Fei Ren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fei Ren Context triple: [Polar (film), starring, Fei Ren]
-
A.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
B.
Tang Fei
Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
-
C.
Hui Fei
Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
-
D.
Fei Yi
Fei Yi was a prominent statesman and regent of the Shu Han kingdom during China’s Three Kingdoms period, known for his diplomatic skill and capable governance.
-
E.
Zhuang Fei
Zhuang Fei, better known as Empress Dowager Xiaozhuang, was a highly influential Qing dynasty imperial consort and grandmother of the Kangxi Emperor who played a key role in early Qing court politics.
- 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: Fei Ren Triple: [Polar (film), starring, Fei Ren]
Generated description
Fei Ren is an actor best known for playing a leading role in the film "Polar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fei Ren Target entity description: Fei Ren is an actor best known for playing a leading role in the film "Polar."
-
A.
Xie Fei
Xie Fei was a Chinese revolutionary and political figure best known as the wife of former PRC President Liu Shaoqi.
-
B.
Tang Fei
Tang Fei is a Taiwanese military general and politician who briefly served as Premier of the Republic of China (Taiwan) in 2000 during the early presidency of Chen Shui-bian.
-
C.
Hui Fei
Hui Fei is a strong-willed and enigmatic courtesan who plays a pivotal role in the 1932 film "Shanghai Express."
-
D.
Fei Yi
Fei Yi was a prominent statesman and regent of the Shu Han kingdom during China’s Three Kingdoms period, known for his diplomatic skill and capable governance.
-
E.
Zhuang Fei
Zhuang Fei, better known as Empress Dowager Xiaozhuang, was a highly influential Qing dynasty imperial consort and grandmother of the Kangxi Emperor who played a key role in early Qing court politics.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64101a0448190ba19f8917ae85dd6 |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771c20d8081909095444afe673e09 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07727e9cd48190b5a83d0bf8805170 |
completed | May 15, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0773021f788190aaeb3a6831ded005 |
completed | May 15, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:44 p.m.