Triple

T8148111
Position Surface form Disambiguated ID Type / Status
Subject Sima Yi E190263 entity
Predicate templeName P44027 FINISHED
Object Gaozu
Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
 E740347 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: Gaozu | Statement: [Sima Yi, templeName, Gaozu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaozu
Context triple: [Sima Yi, templeName, Gaozu]
  • A. Emperor Gaozu of Han
    Emperor Gaozu of Han was the founder and first emperor of China’s Han dynasty, rising from peasant origins to unify the country after the collapse of the Qin.
  • B. Emperor Wen
    Emperor Wen is the posthumous imperial title of Cao Pi, the founding emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • C. Emperor Wen
    Emperor Wen is the posthumous temple name honoring Emperor Taizong of the Song dynasty, reflecting his legacy as a key consolidator of early Song rule in China.
  • D. Taizu
    Taizu is the temple name of the Hongwu Emperor, the founding ruler of China’s Ming dynasty.
  • E. Taizu
    Taizu is the temple name given to Tang of Shang, the founding king of China’s Shang dynasty.
  • 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: Gaozu
Triple: [Sima Yi, templeName, Gaozu]
Generated description
Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaozu
Target entity description: Gaozu is the posthumous temple name honoring the influential Cao Wei statesman and strategist Sima Yi, later revered as a dynastic founder figure.
  • A. Emperor Gaozu of Han
    Emperor Gaozu of Han was the founder and first emperor of China’s Han dynasty, rising from peasant origins to unify the country after the collapse of the Qin.
  • B. Emperor Wen
    Emperor Wen is the posthumous imperial title of Cao Pi, the founding emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • C. Emperor Wen
    Emperor Wen is the posthumous temple name honoring Emperor Taizong of the Song dynasty, reflecting his legacy as a key consolidator of early Song rule in China.
  • D. Taizu
    Taizu is the temple name of the Hongwu Emperor, the founding ruler of China’s Ming dynasty.
  • E. Taizu
    Taizu is the temple name given to Tang of Shang, the founding king of China’s Shang dynasty.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447e74e081908df774edb2134209 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ca1110c8190b72a2a573ddab06d completed April 2, 2026, 1:18 p.m.
NEDg Description generation batch_69ce6e66c5e48190badcc5e075892006 completed April 2, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f0cc434819089e78d24dfee5361 completed April 2, 2026, 1:28 p.m.
Created at: March 30, 2026, 5:36 p.m.