Triple

T15798597
Position Surface form Disambiguated ID Type / Status
Subject The Make-Up E383043 entity
Predicate hasMember P10 FINISHED
Object Michelle Mae
Michelle Mae is an American musician best known as the bassist for the Washington, D.C. post-punk band The Make-Up.
 E1177127 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: Michelle Mae | Statement: [The Make-Up, hasMember, Michelle Mae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michelle Mae
Context triple: [The Make-Up, hasMember, Michelle Mae]
  • A. Maria Mauban
    Maria Mauban was a French actress known for her roles in European cinema of the 1940s and 1950s, including notable performances in Italian neorealist and French films.
  • B. Mary Marie
    Mary Marie is a novel by Eleanor H. Porter, best known as the author of "Pollyanna," and features a young girl navigating the emotional upheaval of her parents’ divorce.
  • C. Lindsay Monroe
    Lindsay Monroe is a forensic scientist and crime scene investigator featured as a central character in the television series CSI: NY.
  • D. Marilynn
    Marilynn is a feminine given name, often considered a variant of Marilyn or a combination of Mary and Lynn.
  • E. Madylyn Mabry
    Madylyn Mabry is an individual known primarily for her personal association with Jack Mabry.
  • 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: Michelle Mae
Triple: [The Make-Up, hasMember, Michelle Mae]
Generated description
Michelle Mae is an American musician best known as the bassist for the Washington, D.C. post-punk band The Make-Up.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michelle Mae
Target entity description: Michelle Mae is an American musician best known as the bassist for the Washington, D.C. post-punk band The Make-Up.
  • A. Maria Mauban
    Maria Mauban was a French actress known for her roles in European cinema of the 1940s and 1950s, including notable performances in Italian neorealist and French films.
  • B. Mary Marie
    Mary Marie is a novel by Eleanor H. Porter, best known as the author of "Pollyanna," and features a young girl navigating the emotional upheaval of her parents’ divorce.
  • C. Lindsay Monroe
    Lindsay Monroe is a forensic scientist and crime scene investigator featured as a central character in the television series CSI: NY.
  • D. Marilynn
    Marilynn is a feminine given name, often considered a variant of Marilyn or a combination of Mary and Lynn.
  • E. Madylyn Mabry
    Madylyn Mabry is an individual known primarily for her personal association with Jack Mabry.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e00d348190bc98917c4098ec2f completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff936cbbc8819097958ac02673a474 completed May 9, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 4:48 a.m.