Triple
T17749576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flowers of War |
E443076
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Han Xiting
Han Xiting is an actress known for her role in the Chinese historical war drama film "The Flowers of War."
|
E1375786
|
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: Han Xiting | Statement: [The Flowers of War, castMember, Han Xiting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Xiting Context triple: [The Flowers of War, castMember, Han Xiting]
-
A.
Han Xianchu
Han Xianchu was a prominent Chinese military commander of the People’s Liberation Army, known for his key roles in major campaigns during the Chinese Civil War and the Korean War.
-
B.
Li Hanzhang
Li Hanzhang was a late Qing dynasty Chinese official and diplomat who served in several high-ranking provincial and foreign service posts.
-
C.
Xue Hanqin
Xue Hanqin is a Chinese jurist and diplomat who has served as a judge and Vice President of the International Court of Justice.
-
D.
Xue Ming
Xue Ming is a Chinese given name most notably borne by a Chinese female volleyball player who has competed at the international level.
-
E.
Huang Jianxin
Huang Jianxin is a prominent Chinese filmmaker known for his socially conscious, often satirical films that explore contemporary Chinese life and 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: Han Xiting Triple: [The Flowers of War, castMember, Han Xiting]
Generated description
Han Xiting is an actress known for her role in the Chinese historical war drama film "The Flowers of War."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Han Xiting Target entity description: Han Xiting is an actress known for her role in the Chinese historical war drama film "The Flowers of War."
-
A.
Han Xianchu
Han Xianchu was a prominent Chinese military commander of the People’s Liberation Army, known for his key roles in major campaigns during the Chinese Civil War and the Korean War.
-
B.
Li Hanzhang
Li Hanzhang was a late Qing dynasty Chinese official and diplomat who served in several high-ranking provincial and foreign service posts.
-
C.
Xue Hanqin
Xue Hanqin is a Chinese jurist and diplomat who has served as a judge and Vice President of the International Court of Justice.
-
D.
Xue Ming
Xue Ming is a Chinese given name most notably borne by a Chinese female volleyball player who has competed at the international level.
-
E.
Huang Jianxin
Huang Jianxin is a prominent Chinese filmmaker known for his socially conscious, often satirical films that explore contemporary Chinese life and 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733b28b808190a06ec86a6e2adb83 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a073623e5a08190a5a7398ee9bc56b2 |
completed | May 15, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073712f4048190831dddd875e82324 |
completed | May 15, 2026, 3:09 p.m. |
Created at: April 10, 2026, 10:10 a.m.