Triple

T4161580
Position Surface form Disambiguated ID Type / Status
Subject Low E91544 entity
Predicate memberOf P10 FINISHED
Object Mimi Parker E417098 NE FINISHED

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: Mimi Parker | Statement: [Low, memberOf, Mimi Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimi Parker
Context triple: [Low, memberOf, Mimi Parker]
  • A. Mimi Parker chosen
    Mimi Parker was an American drummer, vocalist, and co-founder of the indie rock band Low, known for her minimalist percussion and ethereal harmonies that helped define the group's slowcore sound.
  • B. Mimi O'Donnell
    Mimi O'Donnell is an American costume designer, director, and producer best known for her long-term partnership with the late actor Philip Seymour Hoffman and her work in New York theater.
  • C. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • D. Madeline Zima
    Madeline Zima is an American actress best known for her roles in the television series "The Nanny," "Californication," and "Heroes."
  • E. Kim Parker
    Kim Parker is a comedic, outspoken teenage character from the sitcom "Moesha," later becoming a central figure in its spin-off series "The Parkers."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a6b5f48190bdabf988d23f6e97 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589e9ff288190a8dfb62d32a330b5 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:44 p.m.