Triple

T15601202
Position Surface form Disambiguated ID Type / Status
Subject Zhang Juzheng E375036 entity
Predicate courtesyName P570 FINISHED
Object Shuda
Shuda is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
 E1191685 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: Shuda | Statement: [Zhang Juzheng, courtesyName, Shuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shuda
Context triple: [Zhang Juzheng, courtesyName, Shuda]
  • A. Shinjo
    Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
  • B. Sumirago
    Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
  • C. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • D. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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: Shuda
Triple: [Zhang Juzheng, courtesyName, Shuda]
Generated description
Shuda 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: Shuda
Target entity description: Shuda is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
  • A. Shinjo
    Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
  • B. Sumirago
    Sumirago is a small town in the Lombardy region of northern Italy, known in fashion circles as the longtime base of the Missoni design house.
  • C. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • D. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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_69ffdbba9fb08190b800af317f0c9abf completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffddad79d0819085d4131eca0bda02 completed May 10, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ffde14228c81909e61814cbf44e013 completed May 10, 2026, 1:23 a.m.
Created at: April 10, 2026, 4:12 a.m.