Triple

T10062667
Position Surface form Disambiguated ID Type / Status
Subject Emperor Gaozong of Tang E213024 entity
Predicate eraName P2938 FINISHED
Object Yifeng
Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
 E840314 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: Yifeng | Statement: [Emperor Gaozong of Tang, eraName, Yifeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yifeng
Context triple: [Emperor Gaozong of Tang, eraName, Yifeng]
  • A. Minfeng
    Minfeng is a small oasis town and county in southwestern Xinjiang, China, situated on the southern edge of the Taklamakan Desert along the historic Silk Road.
  • B. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • C. Qianfeng
    Qianfeng was a brief imperial era name used during the reign of Emperor Gaozong in the Tang dynasty, marking a specific period in his rule.
  • D. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • E. Yingchao
    Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
  • 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: Yifeng
Triple: [Emperor Gaozong of Tang, eraName, Yifeng]
Generated description
Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yifeng
Target entity description: Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • A. Minfeng
    Minfeng is a small oasis town and county in southwestern Xinjiang, China, situated on the southern edge of the Taklamakan Desert along the historic Silk Road.
  • B. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • C. Qianfeng
    Qianfeng was a brief imperial era name used during the reign of Emperor Gaozong in the Tang dynasty, marking a specific period in his rule.
  • D. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • E. Yingchao
    Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd3c6bc8190a21ed3566f9c08d1 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b630ca008190a337660ad8c9d57e completed April 5, 2026, 7:21 p.m.
NEDg Description generation batch_69d2b78f3c248190b104937e2d669882 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b84a26a481908ab2705d5883cfce completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 8:58 p.m.