Triple

T822046
Position Surface form Disambiguated ID Type / Status
Subject Jing Tian E17770 entity
Predicate givenName P17 FINISHED
Object Tian
Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
 E104794 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: Tian | Statement: [Jing Tian, givenName, Tian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tian
Context triple: [Jing Tian, givenName, Tian]
  • A. Tianhe
    Tianhe is a town in Wuhan, Hubei Province, China, best known for hosting Wuhan Tianhe International Airport, a major air transport hub in central China.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Cathaya
    Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
  • 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: Tian
Triple: [Jing Tian, givenName, Tian]
Generated description
Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tian
Target entity description: Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • A. Tianhe
    Tianhe is a town in Wuhan, Hubei Province, China, best known for hosting Wuhan Tianhe International Airport, a major air transport hub in central China.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Cathaya
    Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7c139c8190b6d75661b5138d89 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c00e3fb48190a242264358413b05 completed March 4, 2026, 5:15 a.m.
NEDg Description generation batch_69a7c088506c81908a9e8ac91cb5b69d completed March 4, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69a7c10b114c8190831a95519dd185a2 completed March 4, 2026, 5:20 a.m.
Created at: March 1, 2026, 7:38 p.m.