Triple

T17726540
Position Surface form Disambiguated ID Type / Status
Subject Kimora Lee Simmons E442475 entity
Predicate spouse P13 FINISHED
Object Tim Leissner 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: Tim Leissner | Statement: [Kimora Lee Simmons, spouse, Tim Leissner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Leissner
Context triple: [Kimora Lee Simmons, spouse, Tim Leissner]
  • A. Tim Leissner chosen
    Tim Leissner is a former Goldman Sachs banker known for his involvement in the 1MDB corruption scandal and his high-profile marriage to fashion entrepreneur Kimora Lee Simmons.
  • B. Sam Englebardt
    Sam Englebardt is a film producer and media investor known for backing genre films and emerging entertainment technologies.
  • C. Keith Chegwin
    Keith Chegwin was a British television presenter and actor best known for his energetic hosting style on children’s and entertainment shows from the 1970s onward.
  • D. Michael Mont
    Michael Mont is a central character in John Galsworthy’s novel "A Modern Comedy," depicted as a sensitive, liberal-minded member of the Forsyte family navigating social change in early 20th-century England.
  • E. Josh Pastner
    Josh Pastner is an American college basketball coach best known for leading the University of Memphis and Georgia Tech men's basketball programs.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e25a80819096289fba4ecb227f completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:07 a.m.