Triple

T17749040
Position Surface form Disambiguated ID Type / Status
Subject Ju Dou E443065 entity
Predicate stars P1956 FINISHED
Object Li Baotian
Li Baotian is a renowned Chinese actor known for his versatile performances in film and television since the 1980s.
E1341114 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: Li Baotian | Statement: [Ju Dou, stars, Li Baotian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Baotian
Context triple: [Ju Dou, stars, Li Baotian]
  • A. Li Hanzhang
    Li Hanzhang was a late Qing dynasty Chinese official and diplomat who served in several high-ranking provincial and foreign service posts.
  • B. Li Jiancheng
    Li Jiancheng was the eldest son and original crown prince of the Tang dynasty’s founding emperor, whose rivalry with his brother Li Shimin ended in his death during the Xuanwu Gate Incident.
  • C. Li Jinglin
    Li Jinglin was a prominent Chinese warlord and military commander of the early Republican era, associated with the Zhili clique during the Warlord Era.
  • D. Huang Baitao
    Huang Baitao was a Nationalist Chinese general best known for commanding Kuomintang forces during the Chinese Civil War, particularly in the Huaihai Campaign.
  • E. Lu Chaoyang
    Lu Chaoyang is a prominent Chinese physicist known for his contributions to quantum information science and quantum optics.
  • 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: Li Baotian
Triple: [Ju Dou, stars, Li Baotian]
Generated description
Li Baotian is a renowned Chinese actor known for his versatile performances in film and television since the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Li Baotian
Target entity description: Li Baotian is a renowned Chinese actor known for his versatile performances in film and television since the 1980s.
  • A. Li Hanzhang
    Li Hanzhang was a late Qing dynasty Chinese official and diplomat who served in several high-ranking provincial and foreign service posts.
  • B. Li Jiancheng
    Li Jiancheng was the eldest son and original crown prince of the Tang dynasty’s founding emperor, whose rivalry with his brother Li Shimin ended in his death during the Xuanwu Gate Incident.
  • C. Li Jinglin
    Li Jinglin was a prominent Chinese warlord and military commander of the early Republican era, associated with the Zhili clique during the Warlord Era.
  • D. Huang Baitao
    Huang Baitao was a Nationalist Chinese general best known for commanding Kuomintang forces during the Chinese Civil War, particularly in the Huaihai Campaign.
  • E. Lu Chaoyang
    Lu Chaoyang is a prominent Chinese physicist known for his contributions to quantum information science and quantum optics.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad46a50819089c87f74efe3c7ca completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d1f3ebc8190bb62be8ffb7c0b64 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053dd2222c819095099ba116b1c0a7 completed May 14, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_6a053e4b79d081908bddd0608ec1b519 completed May 14, 2026, 3:15 a.m.
Created at: April 10, 2026, 10:10 a.m.