Triple
T17749319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road Home |
E443071
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Zheng Hao
Zheng Hao is an actor known for his role in the Chinese film "The Road Home."
|
E1304816
|
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: Zheng Hao | Statement: [The Road Home, stars, Zheng Hao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zheng Hao Context triple: [The Road Home, stars, Zheng Hao]
-
A.
Lin Hao
Lin Hao is a Chinese boy who became widely known for his bravery during the 2008 Sichuan earthquake and for accompanying the flag bearer at the 2008 Beijing Olympics opening ceremony.
-
B.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
C.
Cui Hao
Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
-
D.
Zhao Sheng
Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the Republic of China.
-
E.
Zheng Kai
Zheng Kai is a Chinese actor and television personality known for his roles in popular films and variety shows, including the hit series "Keep Running."
- 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: Zheng Hao Triple: [The Road Home, stars, Zheng Hao]
Generated description
Zheng Hao is an actor known for his role in the Chinese film "The Road Home."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zheng Hao Target entity description: Zheng Hao is an actor known for his role in the Chinese film "The Road Home."
-
A.
Lin Hao
Lin Hao is a Chinese boy who became widely known for his bravery during the 2008 Sichuan earthquake and for accompanying the flag bearer at the 2008 Beijing Olympics opening ceremony.
-
B.
Zhu Changhao
Zhu Changhao was a Ming dynasty imperial prince, known primarily as one of the sons of the Wanli Emperor of China.
-
C.
Cui Hao
Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
-
D.
Zhao Sheng
Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the Republic of China.
-
E.
Zheng Kai
Zheng Kai is a Chinese actor and television personality known for his roles in popular films and variety shows, including the hit series "Keep Running."
- 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_6a035d76eb3c81908d7b7a770a47f725 |
completed | May 12, 2026, 5:03 p.m. |
| NEDg | Description generation | batch_6a03633013148190b597d2ee923131d9 |
completed | May 12, 2026, 5:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0363b88210819098837b6e08083ac0 |
completed | May 12, 2026, 5:30 p.m. |
Created at: April 10, 2026, 10:10 a.m.