Triple

T23248347
Position Surface form Disambiguated ID Type / Status
Subject Seduction E581645 entity
Predicate hasMember P10 FINISHED
Object Michelle Visage NE NERFINISHED

How this triple was built (2 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 Visage | Statement: [Seduction, hasMember, Michelle Visage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Visage
Context triple: [Seduction, hasMember, Michelle Visage]
  • A. Michelle Visage chosen
    Michelle Visage is an American singer, television personality, and LGBTQ+ icon best known for her longtime role as a sharp-tongued, supportive judge on RuPaul’s Drag Race.
  • B. Melissa Auf der Maur
    Melissa Auf der Maur is a Canadian musician and photographer best known as the bassist for the alternative rock bands Hole and later The Smashing Pumpkins.
  • C. Lisa D’Amour
    Lisa D’Amour is an American playwright and interdisciplinary artist known for her innovative, often site-specific works that explore community, environment, and contemporary social issues.
  • D. Karen Valentine
    Karen Valentine is an American actress best known for her Emmy-winning role as idealistic young teacher Alice Johnson on the television series "Room 222."
  • E. Avril Angers
    Avril Angers was an English comic actress and variety performer known for her work on stage, radio, and in film and television from the mid-20th century onward.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f3a67c81908ed18480e1cccc29 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.