Triple

T20287724
Position Surface form Disambiguated ID Type / Status
Subject Huang Shaohong E509931 entity
Predicate givenName P17 FINISHED
Object Shaohong
Shaohong is a Chinese given name that can be used for people of any gender and is borne by various individuals, including historical and contemporary figures.
E1422325 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: Shaohong | Statement: [Huang Shaohong, givenName, Shaohong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaohong
Context triple: [Huang Shaohong, givenName, Shaohong]
  • A. Minhong
    Minhong is the given Chinese name of Michael Yu, the founder of New Oriental Education & Technology Group.
  • B. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • C. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Anhong
    Anhong is a Chinese given name, notably borne by Mao Anhong, a member of Mao Zedong’s extended family.
  • E. Minxia
    Minxia is a Chinese given name notably borne by Olympic champion diver Wu Minxia.
  • 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: Shaohong
Triple: [Huang Shaohong, givenName, Shaohong]
Generated description
Shaohong is a Chinese given name that can be used for people of any gender and is borne by various individuals, including historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shaohong
Target entity description: Shaohong is a Chinese given name that can be used for people of any gender and is borne by various individuals, including historical and contemporary figures.
  • A. Minhong
    Minhong is the given Chinese name of Michael Yu, the founder of New Oriental Education & Technology Group.
  • B. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • C. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Anhong
    Anhong is a Chinese given name, notably borne by Mao Anhong, a member of Mao Zedong’s extended family.
  • E. Minxia
    Minxia is a Chinese given name notably borne by Olympic champion diver Wu Minxia.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6769414488190b38e07fd1e989aba completed April 20, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a2bbcc8819092432b45bebafde6 completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ac5b5f4819083c4d12e9cabc758 completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085bc0781c81909fc53a83291badc0 completed May 16, 2026, 11:57 a.m.
Created at: April 16, 2026, 11:08 a.m.