Triple

T16728582
Position Surface form Disambiguated ID Type / Status
Subject Saichō E406526 entity
Predicate influencedBy P9 FINISHED
Object Zhiyi
Zhiyi was a prominent 6th-century Chinese Buddhist monk and philosopher who systematized Tiantai Buddhism and profoundly shaped East Asian Buddhist thought.
 E1231137 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: Zhiyi | Statement: [Saichō, influencedBy, Zhiyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhiyi
Context triple: [Saichō, influencedBy, Zhiyi]
  • A. Zhi
    Zhi is a component or subpart of the larger entity or system known as Zhizhong.
  • B. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • C. Zhiyuan
    Zhiyuan was a late 19th-century protected cruiser of the Qing Dynasty’s Beiyang Fleet, best known for its role and sinking in the First Sino-Japanese War.
  • D. Zhiyuan
    Zhiyuan was the reign title used during a significant period of the Yuan dynasty under Kublai Khan in imperial China.
  • E. Xiaoyi
    Xiaoyi is a county-level city in Shanxi Province, China, administered by the prefecture-level city of Lüliang.
  • 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: Zhiyi
Triple: [Saichō, influencedBy, Zhiyi]
Generated description
Zhiyi was a prominent 6th-century Chinese Buddhist monk and philosopher who systematized Tiantai Buddhism and profoundly shaped East Asian Buddhist thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhiyi
Target entity description: Zhiyi was a prominent 6th-century Chinese Buddhist monk and philosopher who systematized Tiantai Buddhism and profoundly shaped East Asian Buddhist thought.
  • A. Zhi
    Zhi is a component or subpart of the larger entity or system known as Zhizhong.
  • B. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • C. Zhiyuan
    Zhiyuan was a late 19th-century protected cruiser of the Qing Dynasty’s Beiyang Fleet, best known for its role and sinking in the First Sino-Japanese War.
  • D. Zhiyuan
    Zhiyuan was the reign title used during a significant period of the Yuan dynasty under Kublai Khan in imperial China.
  • E. Xiaoyi
    Xiaoyi is a county-level city in Shanxi Province, China, administered by the prefecture-level city of Lüliang.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a12d77d8819087948d870e952ebb completed May 10, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a00a1adb95c8190b0db1ef2dc0b7f13 completed May 10, 2026, 3:18 p.m.
Created at: April 10, 2026, 5:20 a.m.