Triple

T17512959
Position Surface form Disambiguated ID Type / Status
Subject Babes in Toyland E426495 entity
Predicate bassist P15279 FINISHED
Object Michelle Leon 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 Leon | Statement: [Babes in Toyland, bassist, Michelle Leon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Leon
Context triple: [Babes in Toyland, bassist, Michelle Leon]
  • A. Michelle Leon chosen
    Michelle Leon is an American bassist best known for her work with the Minneapolis punk rock band Babes in Toyland in the late 1980s and early 1990s.
  • B. Maria Reachi
    Maria Reachi is the daughter of silent film actress Agnes Ayres and Mexican film producer Manuel Reachi.
  • C. Leona Vicario
    Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
  • D. Jacqueline Cruz
    Jacqueline Cruz was the late mother of NBA star Karl-Anthony Towns, remembered for her close support of his career and her widely publicized death from COVID-19 complications.
  • E. Lisa Loiacono
    Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525d29fc819080851bf744bc78ed completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.