Triple

T9976466
Position Surface form Disambiguated ID Type / Status
Subject King Wu of Zhou E196342 entity
Predicate templeName P44027 FINISHED
Object Taizu
Taizu is the posthumous temple name honoring King Wu of Zhou, the founder of China’s Zhou dynasty.
E723918 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: Taizu | Statement: [King Wu of Zhou, templeName, Taizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taizu
Context triple: [King Wu of Zhou, templeName, Taizu]
  • A. Taizu
    Taizu is the temple name of the Hongwu Emperor, the founding ruler of China’s Ming dynasty.
  • B. Taizu
    Taizu is the temple name given to Tang of Shang, the founding king of China’s Shang dynasty.
  • C. Gaozu
    Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
  • D. Thái Tổ
    Thái Tổ is the posthumous temple name traditionally given to founding emperors of Vietnamese dynasties, notably used for Lý Thái Tổ, the founder of the Lý dynasty.
  • E. Jingdi
    Jingdi is the posthumous temple name of Emperor Jing of Han, a Western Han dynasty ruler known for consolidating imperial power and promoting economic stability in ancient China.
  • 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: Taizu
Triple: [King Wu of Zhou, templeName, Taizu]
Generated description
Taizu is the posthumous temple name honoring King Wu of Zhou, the founder of China’s Zhou dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taizu
Target entity description: Taizu is the posthumous temple name honoring King Wu of Zhou, the founder of China’s Zhou dynasty.
  • A. Taizu
    Taizu is the temple name of the Hongwu Emperor, the founding ruler of China’s Ming dynasty.
  • B. Taizu chosen
    Taizu is the temple name given to Tang of Shang, the founding king of China’s Shang dynasty.
  • C. Gaozu
    Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
  • D. Thái Tổ
    Thái Tổ is the posthumous temple name traditionally given to founding emperors of Vietnamese dynasties, notably used for Lý Thái Tổ, the founder of the Lý dynasty.
  • E. Jingdi
    Jingdi is the posthumous temple name of Emperor Jing of Han, a Western Han dynasty ruler known for consolidating imperial power and promoting economic stability in ancient China.
  • F. None of above.

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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84d0d3c8190b268582bb79c8973 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23de601f0819096004bf60ffa2d2c completed April 5, 2026, 10:48 a.m.
NEDg Description generation batch_69d241e666a0819087061bf8af397131 completed April 5, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69d24283caa481908d794ea2cd4f9db3 completed April 5, 2026, 11:07 a.m.
Created at: March 30, 2026, 8:48 p.m.