Triple

T15629798
Position Surface form Disambiguated ID Type / Status
Subject Wu Ding E375780 entity
Predicate spouse P13 FINISHED
Object Fu Shi
Fu Shi was a consort of the Shang dynasty king Wu Ding, known from ancient Chinese historical and archaeological records.
 E1169288 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: Fu Shi | Statement: [Wu Ding, spouse, Fu Shi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fu Shi
Context triple: [Wu Ding, spouse, Fu Shi]
  • A. Shih-t'ou Hsi-ch'ien
    Shih-t'ou Hsi-ch'ien was an influential 8th-century Chinese Chan (Zen) Buddhist master, traditionally regarded as a key figure in the formation of the Caodong/Sōtō school.
  • B. Yuan Tseh
    Yuan Tseh is a Taiwanese chemist and Nobel laureate renowned for his pioneering work in chemical reaction dynamics.
  • C. Li Fang-Kuei
    Li Fang-Kuei was a prominent Chinese linguist and philologist known for his influential work on the historical phonology of Chinese and other Sino-Tibetan languages.
  • D. Chao-chou Ts’ung-shen
    Chao-chou Ts’ung-shen was a renowned Chinese Chan (Zen) master of the Tang dynasty, celebrated for his subtle, paradoxical teaching style and influential kōans.
  • E. Li Shu
    Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
  • 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: Fu Shi
Triple: [Wu Ding, spouse, Fu Shi]
Generated description
Fu Shi was a consort of the Shang dynasty king Wu Ding, known from ancient Chinese historical and archaeological records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fu Shi
Target entity description: Fu Shi was a consort of the Shang dynasty king Wu Ding, known from ancient Chinese historical and archaeological records.
  • A. Shih-t'ou Hsi-ch'ien
    Shih-t'ou Hsi-ch'ien was an influential 8th-century Chinese Chan (Zen) Buddhist master, traditionally regarded as a key figure in the formation of the Caodong/Sōtō school.
  • B. Yuan Tseh
    Yuan Tseh is a Taiwanese chemist and Nobel laureate renowned for his pioneering work in chemical reaction dynamics.
  • C. Li Fang-Kuei
    Li Fang-Kuei was a prominent Chinese linguist and philologist known for his influential work on the historical phonology of Chinese and other Sino-Tibetan languages.
  • D. Chao-chou Ts’ung-shen
    Chao-chou Ts’ung-shen was a renowned Chinese Chan (Zen) master of the Tang dynasty, celebrated for his subtle, paradoxical teaching style and influential kōans.
  • E. Li Shu
    Li Shu was a Tang dynasty imperial prince, known primarily as a son of Emperor Dezong of Tang.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb536348190b93ed3c178d1ffb8 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678c9d8c8190be73b6e7ed558e99 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6883b5048190b64e4361bc89dd80 completed May 9, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:14 a.m.