Triple

T21106470
Position Surface form Disambiguated ID Type / Status
Subject Cheng Hao E520057 entity
Predicate givenName P17 FINISHED
Object Hao
Hao is a Chinese given name commonly used for males and borne by numerous historical and contemporary figures.
E1467068 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: Hao | Statement: [Cheng Hao, givenName, Hao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hao
Context triple: [Cheng Hao, givenName, Hao]
  • A. Hao
    Hao is a large coral atoll in French Polynesia’s Tuamotu Archipelago, known historically as a strategic Pacific military and logistics base.
  • B. Hao
    Hao was an ancient Chinese city that served as an early capital of the Zhou dynasty.
  • C. Hexie Hao
    Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
  • D. Changhao
    Changhao is a Chinese given name commonly used for males and can be borne by various individuals across different fields.
  • E. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • 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: Hao
Triple: [Cheng Hao, givenName, Hao]
Generated description
Hao is a Chinese given name commonly used for males and borne by numerous historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hao
Target entity description: Hao is a Chinese given name commonly used for males and borne by numerous historical and contemporary figures.
  • A. Hao
    Hao is a large coral atoll in French Polynesia’s Tuamotu Archipelago, known historically as a strategic Pacific military and logistics base.
  • B. Hao
    Hao was an ancient Chinese city that served as an early capital of the Zhou dynasty.
  • C. Hexie Hao
    Hexie Hao is a series of high-speed electric multiple unit trains used in China’s railway network, known for operating many of the country’s major high-speed services.
  • D. Changhao
    Changhao is a Chinese given name commonly used for males and can be borne by various individuals across different fields.
  • E. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b62301c819082cfc6cb3cd11c8c completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a670d188190988befc0103ca4ec completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095c4b5ad8819093e5c0de866be84b completed May 17, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a095cda3c8081908d85b3da4fc1c06f completed May 17, 2026, 6:14 a.m.
Created at: April 16, 2026, 2:53 p.m.