Triple
T17178168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai film industry |
E416913
|
entity |
| Predicate | notableStar |
P4743
|
FINISHED |
| Object |
Hu Die
Hu Die was a celebrated Chinese silent film actress of the 1920s and 1930s, renowned as one of early Shanghai cinema’s most popular and influential stars.
|
E1254267
|
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: Hu Die | Statement: [Shanghai film industry, notableStar, Hu Die]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hu Die Context triple: [Shanghai film industry, notableStar, Hu Die]
-
A.
Han Duan
Han Duan is a retired Chinese footballer and prolific forward who was a key player for the China women's national team and competed in multiple FIFA Women's World Cups and Olympic Games.
-
B.
Chi Cheng
Chi Cheng was an American musician best known as the original bassist for the alternative metal band Deftones.
-
C.
Chin Han
Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
-
D.
He Zun
He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
-
E.
Fan Ji
Fan Ji was a consort of King Zhuang of Chu, a prominent ruler of the Spring and Autumn period in ancient China.
- 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: Hu Die Triple: [Shanghai film industry, notableStar, Hu Die]
Generated description
Hu Die was a celebrated Chinese silent film actress of the 1920s and 1930s, renowned as one of early Shanghai cinema’s most popular and influential stars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hu Die Target entity description: Hu Die was a celebrated Chinese silent film actress of the 1920s and 1930s, renowned as one of early Shanghai cinema’s most popular and influential stars.
-
A.
Han Duan
Han Duan is a retired Chinese footballer and prolific forward who was a key player for the China women's national team and competed in multiple FIFA Women's World Cups and Olympic Games.
-
B.
Chi Cheng
Chi Cheng was an American musician best known as the original bassist for the alternative metal band Deftones.
-
C.
Chin Han
Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
-
D.
He Zun
He Zun is an ancient Western Zhou bronze ritual vessel renowned for bearing one of the earliest known inscriptions of the name “China” (Zhongguo).
-
E.
Fan Ji
Fan Ji was a consort of King Zhuang of Chu, a prominent ruler of the Spring and Autumn period in ancient China.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148455afc8190931ba1316705ae0c |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014a2f8fec8190b1303967a76ceb63 |
completed | May 11, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014ab0be388190a6ce49cff469fe81 |
completed | May 11, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:37 a.m.