Triple

T15601203
Position Surface form Disambiguated ID Type / Status
Subject Zhang Juzheng E375036 entity
Predicate courtesyName P570 FINISHED
Object Shusai
Shusai is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
 E1169059 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: Shusai | Statement: [Zhang Juzheng, courtesyName, Shusai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shusai
Context triple: [Zhang Juzheng, courtesyName, Shusai]
  • A. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • B. Sakaide
    Sakaide is a coastal city in Japan known for its industrial port facilities and its location near the Seto Ohashi Bridge in Kagawa Prefecture on Shikoku Island.
  • C. Narusawa
    Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
  • D. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • E. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • 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: Shusai
Triple: [Zhang Juzheng, courtesyName, Shusai]
Generated description
Shusai is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shusai
Target entity description: Shusai is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
  • A. Seishirō
    Seishirō is a Japanese given name commonly used for male individuals.
  • B. Sakaide
    Sakaide is a coastal city in Japan known for its industrial port facilities and its location near the Seto Ohashi Bridge in Kagawa Prefecture on Shikoku Island.
  • C. Narusawa
    Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
  • D. Ichigaya
    Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
  • E. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678821a481908378db1ffc76ba05 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff681f91b881908bcd8faf27862359 completed May 9, 2026, 5 p.m.
NED2 Entity disambiguation (via description) batch_69ff6888a85481909e8cdd34ed230fa4 completed May 9, 2026, 5:02 p.m.
Created at: April 10, 2026, 4:12 a.m.