Triple

T17070078
Position Surface form Disambiguated ID Type / Status
Subject Hua Zhou E414192 entity
Predicate spouse P13 FINISHED
Object Hua Li
Hua Li is an individual known primarily as the spouse of Hua Zhou.
E1253907 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: Hua Li | Statement: [Hua Zhou, spouse, Hua Li]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hua Li
Context triple: [Hua Zhou, spouse, Hua Li]
  • A. O Hui
    O Hui is a South Korean premium skincare and cosmetics brand known for its advanced anti-aging and skin-brightening products.
  • B. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • C. Xue Ming
    Xue Ming is a Chinese given name most notably borne by a Chinese female volleyball player who has competed at the international level.
  • D. Liu Qin
    Liu Qin was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
  • E. Li Weihan
    Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
  • 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: Hua Li
Triple: [Hua Zhou, spouse, Hua Li]
Generated description
Hua Li is an individual known primarily as the spouse of Hua Zhou.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hua Li
Target entity description: Hua Li is an individual known primarily as the spouse of Hua Zhou.
  • A. O Hui
    O Hui is a South Korean premium skincare and cosmetics brand known for its advanced anti-aging and skin-brightening products.
  • B. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • C. Xue Ming
    Xue Ming is a Chinese given name most notably borne by a Chinese female volleyball player who has competed at the international level.
  • D. Liu Qin
    Liu Qin was a prince of the Eastern Han dynasty, known primarily as a son of Emperor Guangwu of Han.
  • E. Li Weihan
    Li Weihan was a prominent Chinese Communist revolutionary and politician who played key roles in party organization and United Front work in the early and mid-20th century.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbfb1f08190807301ff6e573cf5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014823d0a8819095491aef9b258971 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a1993a48190bf65e590ff57c9c2 completed May 11, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a014a7fa5208190a0a60649fe6292d1 completed May 11, 2026, 3:18 a.m.
Created at: April 10, 2026, 5:34 a.m.