Triple

T13738047
Position Surface form Disambiguated ID Type / Status
Subject Uncontrolled Substance E330002 entity
Predicate featuresArtist P1952 FINISHED
Object Madam D
Madam D is a musical artist known for her work featured on the project "Uncontrolled Substance."
 E1057402 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 D | Statement: [Uncontrolled Substance, featuresArtist, Madam D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madam D
Context triple: [Uncontrolled Substance, featuresArtist, Madam D]
  • A. Madam M
    Madam M is a fictional character portrayed by Mexican actress Eiza González, known for her role in the action film "Fast & Furious Presents: Hobbs & Shaw."
  • B. Madam
    "Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
  • C. Madame
    Madame was the popular nickname of Henrietta of England, Duchess of Orléans, a 17th-century English princess who became a prominent figure at the French court of Louis XIV.
  • D. Madame
    Madame is a French honorific title historically used for high-ranking women, particularly married women of the nobility or royalty.
  • E. Madama
    Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • 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 D
Triple: [Uncontrolled Substance, featuresArtist, Madam D]
Generated description
Madam D is a musical artist known for her work featured on the project "Uncontrolled Substance."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madam D
Target entity description: Madam D is a musical artist known for her work featured on the project "Uncontrolled Substance."
  • A. Madam M
    Madam M is a fictional character portrayed by Mexican actress Eiza González, known for her role in the action film "Fast & Furious Presents: Hobbs & Shaw."
  • B. Madam
    "Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
  • C. Madame
    Madame was the popular nickname of Henrietta of England, Duchess of Orléans, a 17th-century English princess who became a prominent figure at the French court of Louis XIV.
  • D. Madame
    Madame is a French honorific title historically used for high-ranking women, particularly married women of the nobility or royalty.
  • E. Madama
    Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d68da04819089c95d9bfedc7496 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79f1051b48190ac4704b43e759237 completed May 3, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f79fdf974081909108b0fd89e76d56 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.