Triple

T8021141
Position Surface form Disambiguated ID Type / Status
Subject Tang Xianzu E186743 entity
Predicate givenName P17 FINISHED
Object Xianzu
Xianzu is the given name of Tang Xianzu, the renowned Ming dynasty Chinese playwright best known for his romantic drama "The Peony Pavilion."
E714965 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: Xianzu | Statement: [Tang Xianzu, givenName, Xianzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xianzu
Context triple: [Tang Xianzu, givenName, Xianzu]
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • C. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • D. Yixian
    Yixian is a historic county-level city in China’s Anhui province, noted for its well-preserved ancient villages and traditional Huizhou architecture.
  • E. Chuanfang
    Chuanfang is the given name of Sun Chuanfang, a prominent Chinese warlord and military leader during the Warlord Era of early 20th-century 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: Xianzu
Triple: [Tang Xianzu, givenName, Xianzu]
Generated description
Xianzu is the given name of Tang Xianzu, the renowned Ming dynasty Chinese playwright best known for his romantic drama "The Peony Pavilion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xianzu
Target entity description: Xianzu is the given name of Tang Xianzu, the renowned Ming dynasty Chinese playwright best known for his romantic drama "The Peony Pavilion."
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • C. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • D. Yixian
    Yixian is a historic county-level city in China’s Anhui province, noted for its well-preserved ancient villages and traditional Huizhou architecture.
  • E. Chuanfang
    Chuanfang is the given name of Sun Chuanfang, a prominent Chinese warlord and military leader during the Warlord Era of early 20th-century China.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e8d90488190b57d1e748e272061 completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe3243348190bd4e9073e5460386 completed April 1, 2026, 6:41 a.m.
NEDg Description generation batch_69ccc24a39f88190995f076d1a7ec3e7 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc37f0ca88190b4e077f23dbbe6f8 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:20 p.m.