Triple

T17749518
Position Surface form Disambiguated ID Type / Status
Subject Riding Alone for Thousands of Miles E443075 entity
Predicate editedBy P1954 FINISHED
Object Meng Peicong
Meng Peicong is a film editor known for working on the Chinese drama film "Riding Alone for Thousands of Miles."
E1368718 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: Meng Peicong | Statement: [Riding Alone for Thousands of Miles, editedBy, Meng Peicong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meng Peicong
Context triple: [Riding Alone for Thousands of Miles, editedBy, Meng Peicong]
  • A. He Mengxiong
    He Mengxiong was a Chinese military officer and revolutionary associated with early 20th-century nationalist movements.
  • B. Peng Yuchang
    Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
  • C. Zhu Peide
    Zhu Peide was a Chinese Nationalist military general and politician who held senior command and governmental roles during the Republic of China era.
  • D. Liu Bingzhong
    Liu Bingzhong was a prominent Yuan dynasty scholar-official, architect, and urban planner best known for helping design the Mongol capital that became Beijing.
  • E. Wang Xiancheng
    Wang Xiancheng was a Ming dynasty official and scholar best known for creating the renowned classical Chinese landscape garden now called the Humble Administrator's Garden in Suzhou.
  • 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: Meng Peicong
Triple: [Riding Alone for Thousands of Miles, editedBy, Meng Peicong]
Generated description
Meng Peicong is a film editor known for working on the Chinese drama film "Riding Alone for Thousands of Miles."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meng Peicong
Target entity description: Meng Peicong is a film editor known for working on the Chinese drama film "Riding Alone for Thousands of Miles."
  • A. He Mengxiong
    He Mengxiong was a Chinese military officer and revolutionary associated with early 20th-century nationalist movements.
  • B. Peng Yuchang
    Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
  • C. Zhu Peide
    Zhu Peide was a Chinese Nationalist military general and politician who held senior command and governmental roles during the Republic of China era.
  • D. Liu Bingzhong
    Liu Bingzhong was a prominent Yuan dynasty scholar-official, architect, and urban planner best known for helping design the Mongol capital that became Beijing.
  • E. Wang Xiancheng
    Wang Xiancheng was a Ming dynasty official and scholar best known for creating the renowned classical Chinese landscape garden now called the Humble Administrator's Garden in Suzhou.
  • 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_6a0714355ec081909a1387b65749d627 completed May 15, 2026, 12:40 p.m.
NEDg Description generation batch_6a0714d428c88190b84f70042cf90312 completed May 15, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0715a8888081908d3009e19b1c7c2f completed May 15, 2026, 12:46 p.m.
Created at: April 10, 2026, 10:10 a.m.