Triple

T9780086
Position Surface form Disambiguated ID Type / Status
Subject King Wen of Zhou E237344 entity
Predicate child P120 FINISHED
Object Huo Shu
Huo Shu was a lesser-known son of King Wen of Zhou, associated with the early noble lineages of the Zhou dynasty in ancient China.
 E822812 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: Huo Shu | Statement: [King Wen of Zhou, child, Huo Shu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huo Shu
Context triple: [King Wen of Zhou, child, Huo Shu]
  • A. Cui Hao
    Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
  • B. Xiong Huai
    Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
  • C. Shen Dao
    Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
  • D. Guan Xing
    Guan Xing was a military officer of the Shu Han state during China’s Three Kingdoms period, best known as one of the sons and successors of the famed general Guan Yu.
  • E. Xiong Lü
    Xiong Lü was the personal name of King Zhuang of Chu, a prominent and powerful monarch of the ancient Chinese state of Chu during the Spring and Autumn period.
  • 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: Huo Shu
Triple: [King Wen of Zhou, child, Huo Shu]
Generated description
Huo Shu was a lesser-known son of King Wen of Zhou, associated with the early noble lineages of the Zhou dynasty in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huo Shu
Target entity description: Huo Shu was a lesser-known son of King Wen of Zhou, associated with the early noble lineages of the Zhou dynasty in ancient China.
  • A. Cui Hao
    Cui Hao was a prominent poet of the Tang dynasty in China, best known for his evocative landscape and frontier poems.
  • B. Xiong Huai
    Xiong Huai was an ancient Chinese monarch who ruled the state of Chu during the Warring States period.
  • C. Shen Dao
    Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
  • D. Guan Xing
    Guan Xing was a military officer of the Shu Han state during China’s Three Kingdoms period, best known as one of the sons and successors of the famed general Guan Yu.
  • E. Xiong Lü
    Xiong Lü was the personal name of King Zhuang of Chu, a prominent and powerful monarch of the ancient Chinese state of Chu during the Spring and Autumn period.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc4bb6008190b5111d42ceef52b7 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cd7f41448190b387109235dbc7f5 completed April 5, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69d1cdefca5c8190a673caca42aaa7d0 completed April 5, 2026, 2:50 a.m.
Created at: March 30, 2026, 8:27 p.m.