Triple

T18306830
Position Surface form Disambiguated ID Type / Status
Subject Zhu Youjiao E438506 entity
Predicate associatedWith P37 FINISHED
Object Madam Ke
Madam Ke was a powerful and influential wet nurse and court attendant who effectively controlled the early Ming dynasty court during the reign of the Tianqi Emperor, Zhu Youjiao.
 E1316359 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: Madam Ke | Statement: [Zhu Youjiao, associatedWith, Madam Ke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madam Ke
Context triple: [Zhu Youjiao, associatedWith, Madam Ke]
  • A. Madam
    "Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
  • B. Madam D
    Madam D is a musical artist known for her work featured on the project "Uncontrolled Substance."
  • C. Madam Majestic
    Madam Majestic is a hip-hop vocalist best known for her guest appearances on Wu-Tang Clan–related tracks, including Ghostface Killah’s work.
  • D. Madama
    Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • E. Call Me Madam
    Call Me Madam is a 1950 Broadway musical comedy, with music and lyrics by Irving Berlin, that satirizes American politics and diplomacy through the story of a brash Washington socialite-turned-ambassador.
  • 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: Madam Ke
Triple: [Zhu Youjiao, associatedWith, Madam Ke]
Generated description
Madam Ke was a powerful and influential wet nurse and court attendant who effectively controlled the early Ming dynasty court during the reign of the Tianqi Emperor, Zhu Youjiao.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madam Ke
Target entity description: Madam Ke was a powerful and influential wet nurse and court attendant who effectively controlled the early Ming dynasty court during the reign of the Tianqi Emperor, Zhu Youjiao.
  • A. Madam
    "Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
  • B. Madam D
    Madam D is a musical artist known for her work featured on the project "Uncontrolled Substance."
  • C. Madam Majestic
    Madam Majestic is a hip-hop vocalist best known for her guest appearances on Wu-Tang Clan–related tracks, including Ghostface Killah’s work.
  • D. Madama
    Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • E. Call Me Madam
    Call Me Madam is a 1950 Broadway musical comedy, with music and lyrics by Irving Berlin, that satirizes American politics and diplomacy through the story of a brash Washington socialite-turned-ambassador.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021519a481908a9b6561946f1c65 completed April 19, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb61ec0c81908764d5a907d17ffe completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bbda80748190b8e56fb77140ecb9 completed May 12, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03bc589a548190b6226a104adea97e completed May 12, 2026, 11:48 p.m.
Created at: April 10, 2026, 10:35 a.m.