Triple

T10563556
Position Surface form Disambiguated ID Type / Status
Subject Zao Wou-Ki E249289 entity
Predicate givenName P17 FINISHED
Object Wou-Ki
Wou-Ki is the given name of Zao Wou-Ki, a renowned Chinese-French painter known for his lyrical abstract works.
 E871616 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: Wou-Ki | Statement: [Zao Wou-Ki, givenName, Wou-Ki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wou-Ki
Context triple: [Zao Wou-Ki, givenName, Wou-Ki]
  • A. Wako
    Wako is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter hub.
  • B. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • C. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • D. Wulian
    Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
  • E. Wajin
    Wajin is a historical term used in East Asia to refer to the ethnic Japanese people, particularly those of the Yamato cultural and political core.
  • 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: Wou-Ki
Triple: [Zao Wou-Ki, givenName, Wou-Ki]
Generated description
Wou-Ki is the given name of Zao Wou-Ki, a renowned Chinese-French painter known for his lyrical abstract works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wou-Ki
Target entity description: Wou-Ki is the given name of Zao Wou-Ki, a renowned Chinese-French painter known for his lyrical abstract works.
  • A. Wako
    Wako is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter hub.
  • B. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • C. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • D. Wulian
    Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
  • E. Wajin
    Wajin is a historical term used in East Asia to refer to the ethnic Japanese people, particularly those of the Yamato cultural and political core.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527224b808190b996ae970393f9c3 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93491d2408190b5f54afddbb51ec4 completed April 10, 2026, 5:34 p.m.
NEDg Description generation batch_69d939111a648190b6797c4870f61796 completed April 10, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_69d93dd9f8a0819092d647a765d62fcd completed April 10, 2026, 6:13 p.m.
Created at: April 6, 2026, 12:36 p.m.