Triple

T10148809
Position Surface form Disambiguated ID Type / Status
Subject Mimi Kennedy E232577 entity
Predicate name P16 FINISHED
Object Mimi Kennedy E232577 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 Kennedy | Statement: [Mimi Kennedy, name, Mimi Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimi Kennedy
Context triple: [Mimi Kennedy, name, Mimi Kennedy]
  • A. Mimi Kennedy chosen
    Mimi Kennedy is an American actress and author known for her work in film, television, and theater, including roles in series like "Dharma & Greg" and "Mom."
  • 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. Katherine Murphy
    Katherine Murphy is a central character in the romantic comedy film "Just Go with It," where she becomes entangled in a web of lies and pretend relationships that evolve into genuine romance.
  • D. Alvirah Meehan
    Alvirah Meehan is an amateur sleuth and former cleaning woman turned lottery winner who appears as the sharp, nosy, and warm-hearted protagonist in Mary Higgins Clark’s mystery stories.
  • E. Mimi Rogers
    Mimi Rogers is an American actress and former model known for her work in film and television since the 1980s, including notable roles in movies like "The Rapture" and "Austin Powers: International Man of Mystery."
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec024da481908b8170fcf3b18e67 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbe24a64819098bc94a8a62cc46b completed April 10, 2026, 11:15 a.m.
Created at: March 30, 2026, 9:08 p.m.